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Forecasting Division
august 2012
state oF Washington
oFFice oF Financial ManageMent
County Growth Management Population Projections by Age and Sex: 2010-2040
2012 Projections
To accommodate persons with disabilities, this document is available in alternative formats by calling the Office of Financial Management at 360-902--0599. TTY/TDD users should contact OFM via the Washington Relay Service at 711 or 1-800-833-6388. This publication and other current and historical demographic data are available electronically.
Visit our website at www.ofm.wa.gov
Acknowledgements
The Forecasting Division of the Office of Financial Management (OFM) prepared this report. Primary staff responsible for the Growth Management Act (GMA) projections was Yi Zhao. Staff assisting the project and publication include Erica Gardner and Webb Sprague.
The GMA projections benefited from the participation of many individuals and agencies during both the preparation and review process. Special thanks are due to the Department of Commerce Growth Management Office, who provided OFM with outreach opportunities. We would also like to express our sincere appreciation to the state and regional transportation planning staffs and the economic development council representatives who provided data and expertise in both the preparation and review stages of the GMA process.
Any questions regarding this publication should be directed to the Forecasting Division at 360-902-0599; email: [email protected].
2012 Projections
County Growth Management Population Projections by Age and Sex: 2010-2040
Forecasting Division
august 2012
Washington state
oFFice oF Financial ManageMent
TABLE OF CONTENTS Overview ............................................................................................................................................................... iii
Growth Management Act Population Projections: 2010-2040 ........................................................................ 1
Section I. Washington State Population Forecast: 2010-2040 ................................................................ 1 General Discussion ....................................................................................................................................... 1 Figure 1. State Population Forecast Comparison: Total Population ............................................................ 1 Figure 2. State Population Forecast Comparison: Net Migration ................................................................. 2 Table 1. Forecasted Net Migration: 2007 GMA versus 2012 GMA ............................................................ 2 Figure 3. State Population Forecast: Natural Increase ................................................................................ 3 Discussion of Assumptions ............................................................................................................................ 3 Table 2. State Population Forecast Comparison: Data Inputs .................................................................... 4 Table 3. Population and Components of Population Change: 2000 to 2040 .............................................. 5
Section II. County Population Projections: 2010 to 2040 .......................................................................... 6 General Discussion ....................................................................................................................................... 6 Table 4. Projected Versus Actual 2010 Population and Projections for 2030 ............................................ 6 Figure 4. Population Pyramids: Franklin County .......................................................................................... 7 Figure 5. Actual and Projected Births and Deaths: Franklin County ............................................................ 7 Figure 6. Population Pyramids: Jefferson County ........................................................................................ 8 Figure 7. Actual and Projected Births and Deaths: Jefferson County .......................................................... 8 Discussion of County Projection Assumptions .............................................................................................. 8 Figure 8. 2010 Total Fertility Rates by County ............................................................................................. 10 Discussion of High and Low Projection Alternatives ..................................................................................... 11
Section III. State and County Growth Profiles ............................................................................................. 13 Section IV. Final Projections of the Total Resident Population for the Growth Management Act:
2010-2040 ..................................................................................................................................... 94 High Series .................................................................................................................................................... 94 Medium Series ............................................................................................................................................... 95 Low Series ..................................................................................................................................................... 96
Section V. Projections of the Total Resident Population for the Growth Management Act: 2010 to 2040 by Single Year After 2015 .................................................................................................. 97
High Series .................................................................................................................................................... 98 Medium Series ............................................................................................................................................... 100 Low Series ..................................................................................................................................................... 102
Appendix A: Data Concepts ............................................................................................................................... 104 Appendix B: Historical Data ............................................................................................................................... 105
Historical and Projected Population for Growth Management and Other Purposes ..................................... 105 Historical and Projected Net Migration for Growth Management and Other Purposes ................................ 107
Appendix C: Population Age 65 and Over ........................................................................................................ 109 Population Age 65 and Over .................................................................................................................... 109 Population Age 65 and Over as a Percent of Total County Population ................................................... 110
Appendix D: RCW 43.62.035 Determining Population -- Projections ............................................................. 111
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ii
Overview Development of population projections for the Growth Management Act (GMA) is a shared responsibility. Pursuant to RCW 43.62.035, this document contains county population projections prepared by the Office of Financial Management (OFM) for growth management planning. State and county populations are provided at five-year intervals between 2010 and 2040. The additional single year interval projections between 2015 and 2040 were developed to accommodate the various GMA planning targets specified by counties. The GMA projections present high, medium, and low growth expectations for each county. As indicated in RCW 36.70A.110 and RCW 36.70A.115, local officials are responsible for selecting a 20-year GMA planning target that is within the high and low growth projections prepared by OFM. If the county shows population dynamics that would invalidate the GMA projections before the next set of GMA projections is performed, the county may petition OFM to make changes to their forecast. The GMA county population projections are developed with a “top down” procedure. The 2012 GMA county projections are developed within the framework of November 2011 Washington state forecast of population, births, deaths, and migration. The top down approach is used because at the state level more data is available, the population dynamics are more stable, and projections have been demonstrated to be more accurate. Such an approach makes the county-level forecasts better. Total populations and components of change for each county over the projection period are reconciled with the total state population projection for each five-year time interval. Note that independently developed county projections, even using the same methods and assumptions, would not match the 2012 GMA projections because they would not be controlled to the state projection. Why are low, medium and high series needed? Projections are statements about the future based on a particular set of assumptions. The medium series is considered the most likely because it is the best foreseeable future based on assumptions that have been validated with past and current information. However, assumptions may not hold true if factors influencing population growth should change. Thus, uncertainty should be considered while using those projections for planning purposes. Caution is recommended when users see variation between current population estimates and long term projections. Users should consider allowing long term projections time to “play out” before changing them. Often, migration or fertility may seem to change dramatically for a year or two, but such changes usually return to a longer term trend within a few years. However, if significant structural changes occur with high demographic impact – such as the recent recession – adjustment to forecasts should be considered within the high and low framework.
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Growth Management Act Population Projections: 2010-2040 Section I: Washington State Population Forecast: 2010-2040 General Discussion:
The November 2011 state population forecast is developed with a cohort-component model, which projects the state future births, deaths and net migration separately based on a set of validated assumptions. Compared to the state forecast used in the 2007 Growth Management Act (GMA) county population projections, the November 2011 forecast projects lower population growth between 2010 and 2040, delaying the 2007 expectations by approximately five years. This decline is the result of the severe recession that occurred after the 2007 GMA release and subsequent adjustments made to the fertility, mortality and migration assumptions in response to recessionary impacts on population growth patterns. Figure 1. State Population Forecast Comparison: Total Population
Washington’s net migration is expected to be less than what OFM anticipated in 2007. Migration is the most variable – and the most difficult – demographic component to measure and predict. During the first decade of the 21st century, Washington experienced two recessions with pronounced effects on state migration and projections. The collapse of the dot-com bubble brought the state net migration level down to about 33,000 in 2003, but migration quickly rebounded and peaked in 2006 with nearly 84,000 migrants. The 2007 GMA forecast was produced in the middle of a housing boom, and short-term migration assumptions were predicted to be only moderately lower than the peak numbers that gradually blended into the long-term average of 48,100 in 2015.
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1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
2011 Forecast
2007 Forecast
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1
Figure 2. State Population Forecast Comparison: Net Migration
The crash of the financial and housing markets in the last quarter of 2007 led to the “great recession,” marked by the highest unemployment rates since 1983 and a severe housing market correction. Lack of employment opportunities nationwide resulted in a decline of migration in most states that continues to today. Furthermore, because of falling home prices, many homeowners have gone “underwater” and are unwilling to sell their homes at a loss even if a good job is available elsewhere. Between 2005 and 2010, Washington witnessed 125,000 fewer (36 %) net migrants than expected in the 2007 state forecast. Net migration continued to drop and hit bottom with 4,800 net migrants in 2011 due to continuing high unemployment nationwide. The new forecast expects the state to gradually gain economic strength and to start to attract more migrants, but the slow pace of the economic recovery affects the short-term migration projection. For the 2010 to 2015 period, the anticipated net migration to Washington state has been adjusted down by 154,000 persons from the 2007 forecast, from 259,000 to 104,900. Also, this drop in short-term migration will influence long-term population growth through changes to the age structure and subsequent effects on total fertility and mortality. Table 1. Forecasted Net Migration: 2007 GMA versus 2012 GMA
GMA 2007 GMA 2012 Numerical Difference
Percent Difference
2005-2010 347,057 222,154 -124,903 -36.0% 2010-2015 259,000 104,909 -154,091 -59.5% 2015-2020 240,500 210,000 -30,500 -12.7% 2020-2025 240,500 217,000 -23,500 -9.8% 2025-2030 240,500 225,000 -15,500 -6.4% Washington’s natural increase is likely to decline more than forecasted in 2007. The recent recession also affects people’s decisions regarding marriage and childbearing. Beginning in 2006, the children of the boomers started reaching childbearing age and the number of births in Washington began to increase. This high level of births, referred to by demographers as the “third wave” of the baby boom, was expected to remain high for some time. Fertility patterns started to change in 2009 as women began having fewer children. Even though the current decline in total fertility rates (TFR) from 2.02 in 2008 to 1.93 in 2011 may not form a long-term trend, this recession-related baby bust will lead to another cycle of low number of births 15 or 20 years from now when those babies grow up and are ready to have families.
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2011 Forecast
2007 Forecast
Actual Net Migration
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With the first of the baby boomers turning 65 in 2011, Washington state’s population will become increasingly older (in aggregate) each year, affecting the dynamics of “natural increase”. This aging process will change the age structure of the state, and the increase of elderly population will accelerate until the last of the boomers turn 65 in 2029. The aging population will likely cause a decline in the overall number of births due to a smaller proportion of women at childbearing age. At the same time, an elderly population with a higher risk of dying will contribute to a rising number of deaths (note that people’s life expectancy is expected to increase slowly in the future, but older ages will still die much faster than younger ages). Consequently, the population change due to natural increase – the excess of births over deaths – will decline. Figure 3. State Population Forecast: Natural Increase
Discussion of Assumptions:
Detailed descriptions about the assumptions used in the November 2011 state forecast can be found online at http://www.ofm.wa.gov/pop/stfc/default.asp. The following table is a brief comparison of the changes made between the 2007 and 2011 releases with respect to the demographic components of population change (mortality, fertility and migration). The life expectancy has been adjusted slightly upward based on the Social Security Administration intermediate mortality projections. The long-term TFR has not been adjusted because we do not know if there has been a structural change in Washington women’s fertility behavior, or whether the recent drop in the TFR is a short-term response to the recessionary environment. Migration is much more variable than natural increase. Washington, as seen in the migration graph (Figure 2), has tended to exhibit growth spurts interrupted by periods of slower growth, stagnation, and sometimes even decline – largely due to migration. One example is the well-known “Boeing Bust” of the early 1970s that affected the central Puget Sound area. Another example is the “rural rebound” and influx of Hispanic residents experienced in the early 1990s – rural and nonmetropolitan growth in Washington during the early 1990s was far greater than anticipated, but slowed in the mid-1990s. At present there is a high degree of uncertainty as to future population growth due to the lack of any clear
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1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035
Natural Increase Births Deaths
Last of Baby Boomers turn 65
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WASHINGTON STATE COUNTY POPULATION PROJECTIONS
indication of when the economy will fully recover; and due to possible long-term changes in U.S. immigration policy and their effect on international migration. Therefore, aside from the near-term migration produced by the state econometric model, no attempt is made to predict the timing and magnitude of any significant migration rebound. While migration is expected to gradually increase as the state economic situation improves, short term-growth patterns are blended into general trends. Long-term migration expectations have been adjusted downwards from the annual expectation of 48,100 persons specified in the 2007 forecast to 45,000 per year after 2015. Table 2. State Population Forecast Comparison: Data Inputs Specific Input
November 2011 Forecast
July 2007 Forecast
1. Base census 2010 2000 2. Estimates of annual population growth and migration based on actual symptomatic data through:
April 1, 2011 April 1, 2007
3. Net migration based on an econometric model input relating Washington’s migration to traded sector employment change in Washington, California, and the rest of the nation. Source and date of employment forecasts:
· Economic & Revenue Forecast Council (Washington) · Global Insight. Inc. (California & rest of the nation)
October, 2011 Long range migration anticipation: 45,000
June 2007 Long range migration anticipation: 48,100
4. Actual vital events: · Births · Deaths
2010 to 2011 2010 to 2011
2000 to 2005 2000 to 2005
5. Forecast average lifetime births per woman: 2015 to 2040 Constant at about 2.0
2006 to 2030 Constant at about 2.0
6. Forecast life expectancy in years: · Male · Female
In 2011 Forecast 2010 2040
76.7 yrs 79.5 yrs 82.1 yrs 84.5 yrs
In 2007 Forecast 2006 2030
75.5 yrs 78.0 yrs 81.4 yrs 83.7 yrs
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Table 3. Population and Components of Population Change: 2000 to 2040 Population ------------------Components of Change from Previous Period------------------ at End of Population Change Births Deaths Natural Net Migration Period Number Percent Number Rate Number Rate Increase Number Rate 2000-2001 5,970,330 76,187 1.28 80,732 13.61 43,923 7.40 36,809 39,378 6.64 2001-2002 6,059,316 88,986 1.48 79,291 13.18 44,900 7.46 34,391 54,595 9.08 2002-2003 6,126,885 67,569 1.11 79,069 12.98 44,732 7.34 34,337 33,232 5.45 2003-2004 6,208,515 81,630 1.32 80,957 13.13 46,025 7.46 34,932 46,698 7.57 2004-2005 6,298,816 90,301 1.44 81,845 13.09 45,623 7.30 36,222 54,079 8.65 2000-2005 404,673 401,894 225,203 176,691 227,982 2005-2006 6,420,258 121,442 1.91 83,170 13.08 45,277 7.12 37,893 83,549 13.14 2006-2007 6,525,086 104,828 1.62 87,752 13.56 46,161 7.13 41,591 63,237 9.77 2007-2008 6,608,245 83,159 1.27 89,568 13.64 47,947 7.30 41,621 41,538 6.33 2008-2009 6,672,159 63,914 0.96 89,838 13.53 48,116 7.25 41,722 22,192 3.34 2009-2010 6,724,540 52,381 0.78 88,408 13.20 47,665 7.12 40,743 11,638 1.74 2005-2010 425,724 438,736 235,166 203,570 222,154 2010-2011 6,767,900 43,360 0.64 86,547 12.83 47,996 7.11 38,551 4,809 0.71 2011-2012 6,816,600 48,700 0.72 87,500 12.88 48,900 7.20 38,600 10,100 1.49 2012-2013 6,875,900 59,300 0.87 88,700 12.96 49,900 7.29 38,800 20,500 2.99 2013-2014 6,944,700 68,800 1.00 90,000 13.02 51,500 7.45 38,500 30,300 4.38 2014-2015 7,022,200 77,500 1.11 91,300 13.07 53,000 7.59 38,300 39,200 5.61 2010-2015 297,660 444,047 251,296 192,751 104,909 2015-2016 7,100,451 78,251 1.11 91,856 13.01 55,605 7.87 36,251 42,000 5.95 2016-2017 7,178,675 78,224 1.10 92,684 12.98 56,460 7.91 36,224 42,000 5.88 2017-2018 7,256,835 78,160 1.08 93,496 12.95 57,336 7.94 36,160 42,000 5.82 2018-2019 7,334,646 77,811 1.07 94,095 12.90 58,284 7.99 35,811 42,000 5.76 2019-2020 7,411,977 77,331 1.05 94,621 12.83 59,290 8.04 35,331 42,000 5.70 2015-2020 389,777 466,752 286,975 179,777 210,000 2020-2021 7,489,586 77,609 1.04 95,066 12.76 60,457 8.11 34,609 43,000 5.77 2021-2022 7,566,384 76,798 1.02 95,544 12.69 61,746 8.20 33,798 43,000 5.71 2022-2023 7,642,316 75,932 1.00 96,042 12.63 63,110 8.30 32,932 43,000 5.65 2023-2024 7,717,276 74,960 0.98 96,547 12.57 64,587 8.41 31,960 43,000 5.60 2024-2025 7,793,173 75,897 0.98 97,019 12.51 66,122 8.53 30,897 45,000 5.80 2020-2025 381,196 480,218 316,022 164,196 217,000 2025-2026 7,867,861 74,688 0.95 97,414 12.44 67,726 8.65 29,688 45,000 5.75 2026-2027 7,941,330 73,469 0.93 97,858 12.38 69,389 8.78 28,469 45,000 5.69 2027-2028 8,013,600 72,270 0.91 98,394 12.33 71,124 8.92 27,270 45,000 5.64 2028-2029 8,084,539 70,939 0.88 98,971 12.30 73,032 9.07 25,939 45,000 5.59 2029-2030 8,154,193 69,654 0.86 99,555 12.26 74,901 9.22 24,654 45,000 5.54 2025-2030 361,020 492,192 356,172 136,020 225,000 2030-2031 8,222,550 68,357 0.83 100,169 12.23 76,812 9.38 23,357 45,000 5.50 2031-2032 8,289,815 67,265 0.81 100,810 12.21 78,545 9.51 22,265 45,000 5.45 2032-2033 8,355,592 65,777 0.79 101,517 12.20 80,740 9.70 20,777 45,000 5.41 2033-2034 8,420,097 64,505 0.77 102,288 12.19 82,783 9.87 19,505 45,000 5.36 2034-2035 8,483,628 63,531 0.75 103,099 12.20 84,568 10.01 18,531 45,000 5.32 2030-2035 329,435 507,883 403,448 104,435 225,000 2035-2036 8,546,278 62,650 0.74 103,934 12.21 86,284 10.13 17,650 45,000 5.28 2036-2037 8,608,251 61,973 0.72 104,819 12.22 87,846 10.24 16,973 45,000 5.25 2037-2038 8,669,660 61,409 0.71 105,744 12.24 89,335 10.34 16,409 45,000 5.21 2038-2039 8,730,526 60,866 0.70 106,672 12.26 90,806 10.44 15,866 45,000 5.17 2039-2040 8,790,981 60,455 0.69 107,602 12.28 92,147 10.52 15,455 45,000 5.14 2035-2040 307,353 528,771 446,418 82,353 225,000 2010-2040 2,066,441 2,919,863 2,060,331 859,532 1,206,909 Notes: Rates computed per 1,000 population at midpoint of time period. Unrounded data should not be considered accurate to the last digit.
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WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Section II. County Population Projections: 2010 to 2040 General Discussion:
Three sets of county population projections are provided: a high series, an intermediate series, and a low series. The high and low series generally reflect assumptions as to the uncertainty regarding growth over the next 30 years. These assumptions are based on the historical high and low decade migration patterns for each county and on current factors affecting the economic base and attractiveness of specific areas in the state. The alternative series are a means of taking the fundamental unpredictability of long-range projections into account. This section mainly focuses on the assumptions and population growth projected in the middle series.
Census 2010 counts were used as the benchmark for the 2012 projections. Rebasing the GMA projections to the most recent decennial census changes the “jump off” point of both the population totals and the population age structure. When a projection begins with fewer people, the subsequent population will be lower, all other things equal. Additionally, when a different age structure interacts with similar fertility, mortality, and migration rates, population outcomes can be very different. Table 4 shows the difference in the projected and actual 2010 populations for select counties and the state as a whole as well as the difference in the projected 2030 population. Table 4. Projected Versus Actual 2010 Population and Projections for 2030
GMA 2007 Projection
for 2010 Census
2010 Numerical Difference
Percent Difference
GMA 2007 Projection
for 2030
GMA 2012 Projection
for 2030 Numerical Difference
Percent Difference
Benton 168,839 175,177 6,338 3.8% 198,528 223,689 25,161 11.2% Franklin 70,038 78,163 8,125 11.6% 109,861 130,284 20,423 15.7% Pierce 836,688 795,225 -41,463 -5.0% 1,050,953 967,601 -83,352 -8.6% Snohomish 725,963 713,335 -12,628 -1.7% 950,066 908,807 -41,259 -4.5% State 6,792,318 6,724,540 -67,778 -1.0% 8,509,161 8,154,193 -354,968 -4.4% Some counties are “older” than others, and therefore are impacted more by the aging process. Natural increase varies significantly between counties with balanced age cohorts and those with larger elderly population. Franklin County, for example, has a very young age structure and will continue its population momentum throughout the projection horizon because much of its population growth is due to natural increase (see Figures 4 and 5). On the other hand, over 56 percent of the population in Jefferson County is 50 years old and over. Since older individuals tend to have very low fertility rates and high mortality rates, Jefferson County is expected to lose population due to “natural decrease” -- the excess of deaths over births (see Figures 6 and 7).
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OFFICE OF FINANCIAL MANAGEMENT
Figure 4. Population Pyramids: Franklin County
Figure 5. Actual and Projected Births and Deaths: Franklin County
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WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Figure 6. Population Pyramids: Jefferson County
Figure 7. Actual and Projected Births and Deaths: Jefferson County
Migration to Washington is not evenly distributed among all counties, with some counties showing negative net migration. A county will typically see net in-migration if it: (1) has large amounts of employment, (2) serves as a retirement destination, or (3) serves as a bedroom community for an employment center. It has been more evident in the 2010 census that rural and remote counties without a solid economic base or infrastructure for retirement communities are unlikely to attract movers or sustain current population levels. Counties such as Columbia, Garfield, and Wahkiakum are likely to see population loss due to zero or negative net migration. Discussion of County Projection Assumptions:
County projections are developed using a version of the standard cohort-component approach to projecting population as discussed in the state methodology section. Cohort-component simply
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OFFICE OF FINANCIAL MANAGEMENT
means that populations are disaggregated into age-sex groups and moved forward through time using specific rates of fertility, mortality and migration for each projection interval. In the present case for the county projections, the age ranges and projection intervals are both five years. Annual rates for single-year age ranges are too variable to use for populations of less than 500,000. Middle series county projections are developed within the framework of the previously discussed state projection. County populations and components of population change were compared and reconciled to the statewide age-sex, birth, death, and net migration projections for each five-year interval from 2010 to 2040. Annual county projections are derived by interpolation between the interval endpoints and then forcing county data to sum to the state projection that is developed on a single-year basis. Fertility: Considerable variation exists in the 2010 TFRs across counties (see Figure 8). At the same time relatively consistent trends over time are found in the majority of the counties. Numerous studies on fertility show that certain demographic characteristics influence women’s fertility behavior. Immigrants tend to have higher TFRs than native born women. Hispanic women, in particular, tend to have the highest TFRs, compared to those who have come from Asian or European countries. Second generation Hispanic women tend to have lower TFRs than the first generation but still higher than other racial/ethnic groups. Women attending college, in the labor force, or with higher educational attainment tend to have lower TFRs than their counterparts. TFRs tend to be low in counties with a high proportion of females in their pre-retirement and retirement years relative to females in their childbearing years. These findings are used to understand the changes in each county’s TFR over time and are utilized with historical trends to determine future county TFRs. In general:
· Counties with large Hispanic populations where at least 40 percent or more of the Hispanic population is foreign born have TFRs higher than 2.7. Such trends are expected to continue with moderate decline likely over the forecast horizon assuming the proportion of foreign born Hispanic declines as evidenced already in the 2006-2010 American Community Survey.
· Counties with a high proportion of the population attending college have the lowest TFRs and are expected to stay low in the future.
· Counties that historically have low TFRs due to a proportionally large number of young women either attending college or professional women in labor force are likely to stay constant over the forecast period for these counties.
· Rural counties with relatively larger retirement population or counties with multiple diverse characteristics make generalizations difficult. With minor adjustments, the TFRs for these counties are held constant at their 2010 levels.
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WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Figure 8. 2010 Total Fertility Rates by County
Mortality: The projected life expectancy at birth, i.e., the average number of years a person is expected to live from age 0, is used to estimate the number of deaths each county will experience. The 2012 GMA projection of Washington counties’ mortality is based on 2010 national life expectancy released by the Center for Disease Control in its 2010 Health Report. In general, life expectancy has been increasing since the early 20th century. Based on historical trends, we made several adjustments so that the national life expectancy is more likely to reflect Washington and its counties’ mortality experiences. Using the U.S. life expectancy as a base, we add 0.1 to the base year because Washington historically has shown 1 to 1.5 years higher life expectancies than the U.S. per decade. Historically, life expectancy is lower for black populations and higher for Hispanic populations. At the county level, if 25 percent of the population is Hispanic, life expectancy is adjusted up by 1.2 years at the base year. Research at
0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0
WhitmanSan Juan
KittitasWhatcom
KingAsotin
ThurstonJefferson
SkamaniaSpokane
FerryWalla Walla
StateSnohomish
ClallamKitsapPierceClark
IslandPacificCowlitzMason
Grays HarborColumbia
KlickitatBenton
WahkiakumSkagit
StevensLincoln
LewisGarfieldDouglas
Pend OreilleChelan
OkanoganYakima
GrantFranklinAdams
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the national level has consistently shown that those people with higher education tend to live longer than their counterparts. We increased the life expectancy by 0.75 at the base year for counties where over 31 percent of the population has a bachelor’s degree or more. The life expectancies for counties with less than 18 percent of the population with a bachelor’s degree or more were declined by 0.75 at the base year. Migration: The middle series of the county projections are based on a set of broad propositions that relate to migration as the main driver of population change for the state and counties. Decade migration patterns for each county from 1980 through 2010 are also used to project future migration. General tendencies are based on: (1) 1980-2010 trends in relative population growth and (2) a set of assumptions that is both grounded in past experience and that seems reasonable, given what is known about the economic, demographic, and social character of each of the 39 counties. These assumptions are:
· In general, the 2012 GMA county migration distribution assumptions still agree with those in the 2007 GMA forecast. The metro and urban centers and areas with good accessibility to transportation routes will continue to be magnets for population growth.
· Areas that have sustained growth due to retirement and telecommuting migration will continue this pattern.
· Furthermore, with the increase of oldest old population, retirement migration to rural counties, for economic and quality of life reasons, may decline as the oldest old return to metro areas for better social and health services.
· Over the last two decades, about 70 percent of Washington’s net migration came from abroad. The majority of these immigrants came to Washington through the family reunification program and settled in counties where their families were located. This trend is expected to continue. Counties with the larger numbers of immigrants and sustainable domestic migration are expected to increase their migration share.
· The current recessionary environment has an inevitable impact on all counties’ net migration. In general, it is expected that the 2007 migration expectations for counties will be pushed off for five years for the majority of the counties. For the others, some recover a little faster, but if counties had negative or little migration historically, they may never have migration at levels forecasted in the 2007 GMA projections.
The “population centers” noted above are Seattle, Spokane, Yakima, Tri-Cities, and Portland. Growth assumptions for individual counties are largely manifested in the migration numbers presented in the tables. In practice, the assumptions are not rigidly applied, but serve as guidelines for modifying various migration and population share trends out towards the projection horizon. Discussion of High and Low Projection Alternatives:
GMA specifications require that county projections be expressed as a “reasonable” range. County high and low projection alternatives actually reflect uncertainty bands. As noted, they are not, in a formal sense, alternative scenarios. In general, the uncertainty bands will be larger for smaller counties than large ones. They will be larger for faster growing than slower growing areas. They will be larger for counties with erratic growth in the past and smaller for counties that have had steadier growth. They will be larger for counties that may be impacted by changes
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WASHINGTON STATE COUNTY POPULATION PROJECTIONS
in variable military, college, correctional, or other special populations. These uncertain factors are reflected in the “high” and “low” growth ranges. For example, Kittitas and Whitman counties have wide ranges because of the uncertainty of how and where increasing university enrollments in Washington will be accommodated. Both series sum to statewide low and high projections similar to the medium series. Annual projections for the years 2010 through 2040 are provided on OFM’s website (http://www.ofm.wa.gov/pop/gma/projections12/projections12.asp) to accommodate the various target years used for GMA planning.
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Section III. State and County Growth Profiles A two-page population profile is provided for the state and each county. These profiles are developed from the intermediate population series and contain age/gender detail. Graphs are included showing high, medium, and low growth expectations.
13
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Washington State Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 6,724,540 3,349,707 3,374,833 7,022,200 3,499,254 3,522,946 7,411,977 3,692,485 3,719,492 0-4 439,657 225,088 214,569 446,684 228,543 218,141 473,872 242,481 231,391 5-9 429,877 219,702 210,175 450,041 230,522 219,519 466,355 238,585 227,770 10-14 438,233 224,717 213,516 440,743 225,296 215,447 465,487 238,488 226,999 15-19 462,128 237,577 224,551 448,030 229,558 218,472 453,203 231,545 221,658 20-24 461,512 238,131 223,381 480,140 247,111 233,029 470,158 240,365 229,793 25-29 480,398 245,014 235,384 476,277 244,426 231,851 509,009 260,905 248,104 30-34 453,383 229,863 223,520 493,786 251,491 242,295 498,963 255,568 243,395 35-39 448,607 226,850 221,757 452,280 228,603 223,677 507,696 258,248 249,448 40-44 459,698 232,587 227,111 464,336 234,536 229,800 458,761 231,393 227,368 45-49 492,909 246,507 246,402 460,049 231,763 228,286 467,044 235,365 231,679 50-54 495,296 245,997 249,299 500,091 249,028 251,063 459,405 230,640 228,765 55-59 453,078 221,321 231,757 488,420 240,520 247,900 494,369 244,639 249,730 60-64 382,087 186,378 195,709 432,199 209,288 222,911 476,760 232,371 244,389 65-69 270,474 131,064 139,410 349,136 168,245 180,891 414,735 197,988 216,747 70-74 186,746 88,760 97,986 238,292 113,571 124,721 324,305 153,231 171,074 75-79 142,068 64,325 77,743 159,040 73,046 85,994 208,699 96,389 112,310 80-84 111,118 45,743 65,375 113,038 48,592 64,446 126,514 55,355 71,159 85+ 117,271 40,083 77,188 129,618 45,115 84,503 136,642 48,929 87,713
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 7,793,173 3,879,265 3,913,908 8,154,193 4,055,424 4,098,769 8,483,628 4,216,644 4,266,984 0-4 488,252 249,843 238,409 499,960 255,838 244,122 514,180 263,129 251,051 5-9 494,603 253,064 241,539 509,742 260,821 248,921 521,300 266,737 254,563 10-14 482,229 246,773 235,456 511,494 261,785 249,709 526,648 269,541 257,107 15-19 478,515 245,038 233,477 495,774 253,575 242,199 525,468 268,803 256,665 20-24 475,423 242,376 233,047 502,124 256,607 245,517 519,513 265,190 254,323 25-29 498,287 253,723 244,564 504,224 256,032 248,192 531,638 270,633 261,005 30-34 533,196 272,772 260,424 522,258 265,426 256,832 527,724 267,483 260,241 35-39 512,980 262,439 250,541 548,331 280,199 268,132 536,664 272,461 264,203 40-44 514,969 261,431 253,538 520,367 265,731 254,636 556,042 283,634 272,408 45-49 461,587 232,304 229,283 518,190 262,523 255,667 523,588 266,850 256,738 50-54 466,535 234,320 232,215 461,305 231,435 229,870 517,890 261,571 256,319 55-59 454,463 226,793 227,670 461,674 230,529 231,145 456,806 227,927 228,879 60-64 483,015 236,652 246,363 444,461 219,720 224,741 451,766 223,529 228,237 65-69 458,143 220,260 237,883 464,867 224,804 240,063 428,272 209,120 219,152 70-74 386,018 180,739 205,279 427,298 201,714 225,584 434,410 206,443 227,967 75-79 285,373 130,790 154,583 340,798 154,954 185,844 378,408 173,721 204,687 80-84 167,606 73,877 93,729 230,930 101,258 129,672 277,133 120,706 156,427 85+ 151,979 56,071 95,908 190,396 72,473 117,923 256,178 99,166 157,012
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 8,790,981 4,368,634 4,422,347 2010-15 297,660 444,047 251,296 104,909 0-4 533,920 273,234 260,686 2015-20 389,777 466,752 286,975 210,000 5-9 535,624 274,082 261,542 2020-25 381,196 480,218 316,022 217,000 10-14 538,240 275,480 262,760 2025-30 361,020 492,192 356,172 225,000 15-19 540,759 276,636 264,123 2030-35 329,435 507,883 403,448 225,000 20-24 550,016 280,813 269,203 2035-40 307,353 528,771 446,418 225,000 25-29 549,207 279,297 269,910 30-34 555,835 282,454 273,381 35-39 542,004 274,430 267,574 40-44 544,172 275,786 268,386 45-49 559,556 284,877 274,679 50-54 523,460 266,010 257,450 55-59 513,106 257,798 255,308 60-64 447,555 221,357 226,198 65-69 435,771 213,032 222,739 70-74 401,055 192,573 208,482 75-79 385,891 178,504 207,387 80-84 309,118 136,191 172,927 85+ 325,692 126,080 199,612
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OFFICE OF FINANCIAL MANAGEMENT
2,000,000
3,000,000
4,000,000
5,000,000
6,000,000
7,000,000
8,000,000
9,000,000
10,000,000
11,000,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Washington State
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
15
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Adams Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 18,728 9,544 9,184 20,257 10,337 9,920 21,640 11,067 10,573 0-4 2,015 1,071 944 2,270 1,156 1,114 2,393 1,224 1,169 5-9 1,811 924 887 2,067 1,105 962 2,326 1,196 1,130 10-14 1,647 831 816 1,856 947 909 2,077 1,105 972 15-19 1,649 907 742 1,628 847 781 1,774 929 845 20-24 1,261 664 597 1,387 743 644 1,318 663 655 25-29 1,242 612 630 1,395 719 676 1,522 804 718 30-34 1,256 627 629 1,304 651 653 1,417 737 680 35-39 1,144 587 557 1,237 617 620 1,287 644 643 40-44 1,055 553 502 1,182 607 575 1,234 617 617 45-49 1,037 520 517 1,048 550 498 1,154 592 562 50-54 1,003 488 515 1,026 518 508 1,014 530 484 55-59 957 489 468 956 468 488 991 502 489 60-64 736 345 391 857 437 420 869 424 445 65-69 599 328 271 631 298 333 771 401 370 70-74 449 220 229 494 266 228 531 240 291 75-79 336 157 179 368 173 195 397 216 181 80-84 267 132 135 261 119 142 275 128 147 85+ 264 89 175 290 116 174 290 115 175
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 22,964 11,758 11,206 24,289 12,439 11,850 25,690 13,176 12,514 0-4 2,442 1,256 1,186 2,529 1,300 1,229 2,684 1,381 1,303 5-9 2,426 1,246 1,180 2,471 1,266 1,205 2,564 1,318 1,246 10-14 2,311 1,186 1,125 2,422 1,243 1,179 2,465 1,269 1,196 15-19 1,970 1,074 896 2,193 1,149 1,044 2,298 1,206 1,092 20-24 1,438 734 704 1,626 863 763 1,801 916 885 25-29 1,463 712 751 1,596 800 796 1,800 938 862 30-34 1,575 836 739 1,501 746 755 1,642 833 809 35-39 1,412 742 670 1,557 829 728 1,476 736 740 40-44 1,274 639 635 1,373 725 648 1,521 812 709 45-49 1,192 595 597 1,246 622 624 1,341 711 630 50-54 1,111 569 542 1,156 575 581 1,194 596 598 55-59 950 497 453 1,050 538 512 1,109 558 551 60-64 895 455 440 869 460 409 957 496 461 65-69 760 374 386 797 410 387 786 421 365 70-74 677 355 322 651 321 330 681 347 334 75-79 440 195 245 564 292 272 545 252 293 80-84 307 159 148 332 140 192 428 221 207 85+ 321 134 187 356 160 196 398 165 233
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 27,205 13,966 13,239 2010-15 1,529 2,272 589 -154 0-4 2,878 1,482 1,396 2015-20 1,383 2,399 637 -379 5-9 2,723 1,402 1,321 2020-25 1,324 2,458 659 -475 10-14 2,559 1,319 1,240 2025-30 1,325 2,578 694 -559 15-19 2,332 1,230 1,102 2030-35 1,401 2,767 728 -638 20-24 1,888 963 925 2035-40 1,515 2,989 772 -702 25-29 2,006 1,016 990 30-34 1,815 954 861 35-39 1,618 818 800 40-44 1,454 722 732 45-49 1,481 794 687 50-54 1,291 675 616 55-59 1,118 560 558 60-64 1,008 511 497 65-69 867 456 411 70-74 688 365 323 75-79 574 296 278 80-84 425 194 231 85+ 480 209 271
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OFFICE OF FINANCIAL MANAGEMENT
7,500
10,000
12,500
15,000
17,500
20,000
22,500
25,000
27,500
30,000
32,500
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Adams County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
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WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Asotin Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 21,623 10,453 11,170 21,818 10,607 11,211 22,033 10,749 11,284 0-4 1,261 627 634 1,082 559 523 1,090 558 532 5-9 1,335 660 675 1,302 648 654 1,105 567 538 10-14 1,273 666 607 1,370 678 692 1,309 654 655 15-19 1,395 713 682 1,289 677 612 1,365 680 685 20-24 1,188 580 608 1,052 519 533 989 503 486 25-29 1,245 571 674 1,174 586 588 1,240 619 621 30-34 1,168 585 583 1,291 600 691 1,215 603 612 35-39 1,096 536 560 1,178 588 590 1,303 605 698 40-44 1,214 576 638 1,148 562 586 1,173 589 584 45-49 1,536 744 792 1,229 582 647 1,115 541 574 50-54 1,650 775 875 1,568 758 810 1,197 563 634 55-59 1,613 794 819 1,642 765 877 1,545 737 808 60-64 1,477 708 769 1,614 795 819 1,674 781 893 65-69 1,267 614 653 1,436 692 744 1,636 818 818 70-74 1,043 524 519 1,191 586 605 1,427 703 724 75-79 776 360 416 957 478 479 1,086 530 556 80-84 570 238 332 651 297 354 795 392 403 85+ 516 182 334 644 237 407 769 306 463
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 22,196 10,864 11,332 22,313 10,945 11,368 22,358 10,981 11,377 0-4 1,104 566 538 1,104 562 542 1,084 555 529 5-9 1,135 577 558 1,142 592 550 1,168 595 573 10-14 1,136 579 557 1,149 591 558 1,181 602 579 15-19 1,330 667 663 1,162 600 562 1,184 608 576 20-24 1,049 504 545 1,034 506 528 911 459 452 25-29 1,151 585 566 1,235 593 642 1,192 586 606 30-34 1,308 659 649 1,228 630 598 1,294 625 669 35-39 1,215 612 603 1,314 658 656 1,242 642 600 40-44 1,292 600 692 1,216 608 608 1,323 662 661 45-49 1,146 577 569 1,303 605 698 1,207 604 603 50-54 1,123 551 572 1,144 571 573 1,293 594 699 55-59 1,194 554 640 1,096 527 569 1,150 570 580 60-64 1,572 757 815 1,201 558 643 1,144 555 589 65-69 1,684 787 897 1,598 773 825 1,240 586 654 70-74 1,635 833 802 1,674 793 881 1,601 782 819 75-79 1,309 641 668 1,514 770 744 1,551 731 820 80-84 882 420 462 1,074 520 554 1,247 630 617 85+ 931 395 536 1,125 488 637 1,346 595 751
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 22,356 10,993 11,363 2010-15 195 1,082 1,133 246 0-4 1,043 535 508 2015-20 215 1,077 1,345 483 5-9 1,130 579 551 2020-25 163 1,080 1,519 602 10-14 1,213 616 597 2025-30 117 1,086 1,680 711 15-19 1,228 636 592 2030-35 45 1,057 1,822 810 20-24 943 468 475 2035-40 -2 1,014 1,921 905 25-29 1,038 521 517 30-34 1,288 631 657 35-39 1,341 653 688 40-44 1,270 656 614 45-49 1,334 673 661 50-54 1,228 614 614 55-59 1,301 602 699 60-64 1,184 589 595 65-69 1,164 569 595 70-74 1,236 588 648 75-79 1,494 740 754 80-84 1,282 579 703 85+ 1,639 744 895
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OFFICE OF FINANCIAL MANAGEMENT
10,000
12,500
15,000
17,500
20,000
22,500
25,000
27,500
30,000
32,500
35,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Asotin County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
19
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Benton Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 175,177 87,486 87,691 184,882 92,388 92,494 197,806 98,800 99,006 0-4 13,071 6,706 6,365 12,862 6,584 6,278 13,959 7,148 6,811 5-9 13,081 6,743 6,338 13,691 7,033 6,658 13,816 7,072 6,744 10-14 13,350 6,880 6,470 13,722 7,085 6,637 14,590 7,499 7,091 15-19 12,914 6,642 6,272 13,348 6,958 6,390 13,837 7,226 6,611 20-24 10,955 5,533 5,422 10,740 5,335 5,405 11,175 5,632 5,543 25-29 11,972 6,097 5,875 12,721 6,405 6,316 12,499 6,184 6,315 30-34 11,066 5,570 5,496 13,048 6,728 6,320 14,276 7,265 7,011 35-39 10,672 5,362 5,310 11,382 5,731 5,651 13,919 7,183 6,736 40-44 11,062 5,455 5,607 11,264 5,669 5,595 11,832 5,953 5,879 45-49 12,443 6,119 6,324 11,207 5,514 5,693 11,534 5,801 5,733 50-54 12,624 6,323 6,301 12,710 6,237 6,473 11,330 5,556 5,774 55-59 11,759 5,913 5,846 12,336 6,141 6,195 12,500 6,105 6,395 60-64 9,622 4,858 4,764 11,054 5,515 5,539 11,897 5,868 6,029 65-69 6,787 3,332 3,455 8,748 4,374 4,374 10,572 5,215 5,357 70-74 4,728 2,281 2,447 5,955 2,861 3,094 8,096 3,966 4,130 75-79 3,546 1,576 1,970 4,041 1,886 2,155 5,227 2,437 2,790 80-84 2,747 1,156 1,591 2,864 1,203 1,661 3,263 1,459 1,804 85+ 2,778 940 1,838 3,189 1,129 2,060 3,484 1,231 2,253
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 210,803 105,173 105,630 223,689 111,482 112,207 236,007 117,526 118,481 0-4 14,741 7,547 7,194 15,418 7,893 7,525 16,010 8,203 7,807 5-9 14,954 7,654 7,300 15,780 8,078 7,702 16,447 8,422 8,025 10-14 14,690 7,528 7,162 15,883 8,131 7,752 16,705 8,553 8,152 15-19 14,680 7,632 7,048 14,793 7,667 7,126 15,932 8,248 7,684 20-24 11,669 5,890 5,779 12,477 6,278 6,199 12,553 6,307 6,246 25-29 12,968 6,491 6,477 13,477 6,766 6,711 14,342 7,181 7,161 30-34 14,090 7,062 7,028 14,596 7,407 7,189 15,088 7,669 7,419 35-39 15,188 7,748 7,440 15,002 7,539 7,463 15,502 7,874 7,628 40-44 14,459 7,458 7,001 15,710 8,009 7,701 15,533 7,805 7,728 45-49 12,101 6,087 6,014 14,773 7,609 7,164 15,996 8,140 7,856 50-54 11,643 5,840 5,803 12,211 6,126 6,085 14,890 7,663 7,227 55-59 11,150 5,451 5,699 11,498 5,750 5,748 12,078 6,065 6,013 60-64 12,076 5,842 6,234 10,757 5,196 5,561 11,081 5,474 5,607 65-69 11,347 5,518 5,829 11,560 5,524 6,036 10,317 4,916 5,401 70-74 9,783 4,719 5,064 10,507 4,997 5,510 10,739 5,022 5,717 75-79 7,111 3,376 3,735 8,621 4,033 4,588 9,269 4,268 5,001 80-84 4,208 1,867 2,341 5,760 2,625 3,135 7,032 3,138 3,894 85+ 3,945 1,463 2,482 4,866 1,854 3,012 6,493 2,578 3,915
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 247,856 123,380 124,476 2010-15 9,705 12,703 6,251 3,253 0-4 16,626 8,516 8,110 2015-20 12,924 13,638 7,283 6,569 5-9 17,074 8,743 8,331 2020-25 12,997 14,413 8,219 6,803 10-14 17,413 8,918 8,495 2025-30 12,886 15,108 9,276 7,054 15-19 16,752 8,671 8,081 2030-35 12,318 15,774 10,493 7,037 20-24 13,553 6,802 6,751 2035-40 11,849 16,455 11,617 7,011 25-29 14,389 7,190 7,199 30-34 15,972 8,090 7,882 35-39 15,989 8,147 7,842 40-44 16,043 8,151 7,892 45-49 15,844 7,947 7,897 50-54 16,115 8,190 7,925 55-59 14,785 7,626 7,159 60-64 11,650 5,766 5,884 65-69 10,656 5,206 5,450 70-74 9,612 4,492 5,120 75-79 9,527 4,317 5,210 80-84 7,566 3,323 4,243 85+ 8,290 3,285 5,005
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OFFICE OF FINANCIAL MANAGEMENT
50,000
75,000
100,000
125,000
150,000
175,000
200,000
225,000
250,000
275,000
300,000
325,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Benton County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
21
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Chelan Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 72,453 36,130 36,323 75,180 37,531 37,649 78,586 39,256 39,330 0-4 4,915 2,577 2,338 5,219 2,674 2,545 5,525 2,832 2,693 5-9 4,864 2,517 2,347 5,049 2,653 2,396 5,403 2,768 2,635 10-14 5,072 2,554 2,518 4,977 2,579 2,398 5,155 2,710 2,445 15-19 5,202 2,668 2,534 5,098 2,611 2,487 4,971 2,615 2,356 20-24 4,260 2,239 2,021 4,093 2,015 2,078 3,974 1,948 2,026 25-29 4,309 2,229 2,080 4,780 2,489 2,291 4,802 2,361 2,441 30-34 4,098 2,058 2,040 4,502 2,359 2,143 4,998 2,634 2,364 35-39 4,082 2,004 2,078 4,083 2,046 2,037 4,552 2,385 2,167 40-44 4,291 2,151 2,140 4,203 2,063 2,140 4,094 2,058 2,036 45-49 5,034 2,487 2,547 4,326 2,158 2,168 4,231 2,069 2,162 50-54 5,523 2,699 2,824 5,209 2,564 2,645 4,366 2,168 2,198 55-59 5,214 2,627 2,587 5,629 2,724 2,905 5,278 2,575 2,703 60-64 4,414 2,205 2,209 5,209 2,608 2,601 5,728 2,738 2,990 65-69 3,237 1,588 1,649 4,246 2,134 2,112 5,248 2,643 2,605 70-74 2,582 1,272 1,310 2,908 1,415 1,493 4,040 2,023 2,017 75-79 1,961 927 1,034 2,207 1,060 1,147 2,540 1,201 1,339 80-84 1,562 658 904 1,548 693 855 1,765 812 953 85+ 1,833 670 1,163 1,894 686 1,208 1,916 716 1,200
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 81,885 40,884 41,001 84,778 42,299 42,479 87,168 43,468 43,700 0-4 5,673 2,911 2,762 5,673 2,908 2,765 5,680 2,910 2,770 5-9 5,712 2,924 2,788 5,873 3,005 2,868 5,872 3,005 2,867 10-14 5,519 2,825 2,694 5,822 2,984 2,838 5,988 3,068 2,920 15-19 5,129 2,728 2,401 5,478 2,846 2,632 5,783 3,007 2,776 20-24 3,860 1,952 1,908 4,028 2,069 1,959 4,337 2,170 2,167 25-29 4,623 2,270 2,353 4,521 2,281 2,240 4,672 2,390 2,282 30-34 5,024 2,508 2,516 4,852 2,404 2,448 4,739 2,421 2,318 35-39 5,053 2,662 2,391 5,076 2,538 2,538 4,925 2,452 2,473 40-44 4,567 2,393 2,174 5,043 2,657 2,386 5,094 2,544 2,550 45-49 4,099 2,053 2,046 4,574 2,391 2,183 5,053 2,658 2,395 50-54 4,288 2,093 2,195 4,148 2,071 2,077 4,619 2,407 2,212 55-59 4,435 2,185 2,250 4,336 2,079 2,257 4,183 2,049 2,134 60-64 5,410 2,620 2,790 4,585 2,259 2,326 4,518 2,186 2,332 65-69 5,771 2,769 3,002 5,437 2,651 2,786 4,637 2,300 2,337 70-74 5,017 2,512 2,505 5,512 2,633 2,879 5,197 2,517 2,680 75-79 3,576 1,747 1,829 4,470 2,189 2,281 4,923 2,292 2,631 80-84 2,007 908 1,099 2,908 1,371 1,537 3,664 1,731 1,933 85+ 2,122 824 1,298 2,442 963 1,479 3,284 1,361 1,923
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 89,246 44,485 44,761 2010-15 2,727 5,186 3,357 898 0-4 5,861 3,005 2,856 2015-20 3,406 5,462 3,600 1,544 5-9 5,881 3,013 2,868 2020-25 3,299 5,614 3,802 1,487 10-14 6,008 3,077 2,931 2025-30 2,893 5,613 4,190 1,470 15-19 5,971 3,108 2,863 2030-35 2,390 5,636 4,677 1,431 20-24 4,595 2,302 2,293 2035-40 2,078 5,814 5,168 1,432 25-29 5,005 2,506 2,499 30-34 4,896 2,535 2,361 35-39 4,804 2,454 2,350 40-44 4,927 2,445 2,482 45-49 5,119 2,552 2,567 50-54 5,113 2,683 2,430 55-59 4,663 2,382 2,281 60-64 4,374 2,152 2,222 65-69 4,587 2,237 2,350 70-74 4,449 2,196 2,253 75-79 4,656 2,220 2,436 80-84 4,058 1,813 2,245 85+ 4,279 1,805 2,474
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OFFICE OF FINANCIAL MANAGEMENT
30,000
40,000
50,000
60,000
70,000
80,000
90,000
100,000
110,000
120,000
130,000
140,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Chelan County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
23
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Clallam Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 71,404 35,429 35,975 71,868 35,577 36,291 73,616 36,368 37,248 0-4 3,363 1,792 1,571 3,281 1,678 1,603 3,403 1,738 1,665 5-9 3,398 1,734 1,664 3,421 1,830 1,591 3,465 1,773 1,692 10-14 3,822 1,935 1,887 3,447 1,761 1,686 3,558 1,891 1,667 15-19 3,994 2,160 1,834 4,166 2,241 1,925 3,892 2,119 1,773 20-24 3,598 2,004 1,594 3,254 1,839 1,415 3,423 1,905 1,518 25-29 3,591 1,917 1,674 3,962 2,088 1,874 3,500 1,832 1,668 30-34 3,460 1,848 1,612 3,553 1,867 1,686 4,146 2,152 1,994 35-39 3,365 1,736 1,629 3,290 1,706 1,584 3,579 1,832 1,747 40-44 3,579 1,799 1,780 3,436 1,768 1,668 3,350 1,745 1,605 45-49 4,497 2,165 2,332 3,532 1,766 1,766 3,463 1,786 1,677 50-54 5,480 2,647 2,833 4,684 2,231 2,453 3,659 1,816 1,843 55-59 6,093 2,854 3,239 6,435 3,086 3,349 5,516 2,613 2,903 60-64 5,975 2,824 3,151 6,807 3,184 3,623 7,351 3,515 3,836 65-69 5,255 2,509 2,746 5,614 2,632 2,982 6,770 3,150 3,620 70-74 3,961 2,001 1,960 4,547 2,146 2,401 5,127 2,380 2,747 75-79 3,021 1,430 1,591 3,326 1,633 1,693 3,935 1,790 2,145 80-84 2,439 1,121 1,318 2,355 1,047 1,308 2,619 1,231 1,388 85+ 2,513 953 1,560 2,758 1,074 1,684 2,860 1,100 1,760
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 75,022 37,002 38,020 76,112 37,518 38,594 76,786 37,913 38,873 0-4 3,463 1,773 1,690 3,463 1,770 1,693 3,466 1,774 1,692 5-9 3,589 1,830 1,759 3,683 1,883 1,800 3,673 1,876 1,797 10-14 3,612 1,842 1,770 3,775 1,930 1,845 3,863 1,970 1,893 15-19 4,036 2,275 1,761 4,134 2,248 1,886 4,321 2,349 1,972 20-24 3,220 1,816 1,404 3,383 1,968 1,415 3,469 1,947 1,522 25-29 3,722 1,933 1,789 3,464 1,816 1,648 3,622 1,978 1,644 30-34 3,678 1,881 1,797 3,986 2,038 1,948 3,707 1,912 1,795 35-39 4,205 2,132 2,073 3,726 1,842 1,884 4,078 2,022 2,056 40-44 3,665 1,877 1,788 4,310 2,180 2,130 3,835 1,898 1,937 45-49 3,384 1,759 1,625 3,716 1,901 1,815 4,379 2,211 2,168 50-54 3,588 1,840 1,748 3,530 1,820 1,710 3,866 1,957 1,909 55-59 4,325 2,139 2,186 4,286 2,183 2,103 4,226 2,176 2,050 60-64 6,322 2,991 3,331 4,979 2,453 2,526 4,941 2,502 2,439 65-69 7,352 3,498 3,854 6,303 2,952 3,351 4,975 2,437 2,538 70-74 6,258 2,889 3,369 6,825 3,221 3,604 5,817 2,691 3,126 75-79 4,426 1,988 2,438 5,493 2,463 3,030 5,969 2,739 3,230 80-84 3,076 1,316 1,760 3,476 1,481 1,995 4,420 1,905 2,515 85+ 3,101 1,223 1,878 3,580 1,369 2,211 4,159 1,569 2,590
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 77,224 38,239 38,985 2010-15 464 3,273 4,696 1,887 0-4 3,523 1,797 1,726 2015-20 1,748 3,316 5,116 3,548 5-9 3,683 1,877 1,806 2020-25 1,406 3,341 5,471 3,536 10-14 3,851 1,963 1,888 2025-30 1,090 3,322 5,837 3,605 15-19 4,418 2,402 2,016 2030-35 674 3,331 6,208 3,551 20-24 3,644 2,056 1,588 2035-40 438 3,382 6,488 3,544 25-29 3,723 1,960 1,763 30-34 3,865 2,079 1,786 35-39 3,758 1,883 1,875 40-44 4,194 2,083 2,111 45-49 3,897 1,926 1,971 50-54 4,565 2,290 2,275 55-59 4,624 2,345 2,279 60-64 4,883 2,498 2,385 65-69 4,983 2,518 2,465 70-74 4,626 2,249 2,377 75-79 5,060 2,257 2,803 80-84 4,794 2,113 2,681 85+ 5,133 1,943 3,190
24
OFFICE OF FINANCIAL MANAGEMENT
20,000
30,000
40,000
50,000
60,000
70,000
80,000
90,000
100,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Clallam County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
25
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Clark Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 425,363 209,954 215,409 447,201 220,732 226,469 477,884 235,663 242,221 0-4 29,429 15,047 14,382 28,767 14,723 14,044 31,666 16,208 15,458 5-9 31,139 15,990 15,149 30,844 15,781 15,063 30,934 15,832 15,102 10-14 32,840 16,908 15,932 32,671 16,789 15,882 32,917 16,846 16,071 15-19 30,021 15,457 14,564 31,327 16,172 15,155 31,570 16,278 15,292 20-24 24,383 12,178 12,205 26,331 13,238 13,093 27,600 13,876 13,724 25-29 26,418 12,970 13,448 28,309 14,085 14,224 30,618 15,311 15,307 30-34 28,467 13,941 14,526 28,795 14,314 14,481 31,877 16,041 15,836 35-39 29,691 14,728 14,963 29,248 14,327 14,921 30,785 15,314 15,471 40-44 29,997 15,076 14,921 31,337 15,557 15,780 30,451 14,898 15,553 45-49 31,452 15,468 15,984 30,410 15,240 15,170 32,145 15,927 16,218 50-54 30,440 15,132 15,308 32,127 15,760 16,367 30,781 15,393 15,388 55-59 28,119 13,504 14,615 29,757 14,688 15,069 31,701 15,464 16,237 60-64 24,257 11,712 12,545 26,456 12,585 13,871 28,806 14,079 14,727 65-69 16,888 8,194 8,694 22,180 10,554 11,626 25,499 11,929 13,570 70-74 11,194 5,388 5,806 14,987 7,115 7,872 20,824 9,664 11,160 75-79 7,916 3,544 4,372 9,740 4,521 5,219 13,443 6,159 7,284 80-84 6,304 2,565 3,739 6,423 2,712 3,711 8,073 3,574 4,499 85+ 6,408 2,152 4,256 7,492 2,571 4,921 8,194 2,870 5,324
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 508,124 250,250 257,874 536,717 264,074 272,643 562,207 276,485 285,722 0-4 33,539 17,159 16,380 34,821 17,808 17,013 35,517 18,155 17,362 5-9 33,876 17,328 16,548 35,768 18,287 17,481 37,034 18,933 18,101 10-14 32,841 16,802 16,039 35,810 18,316 17,494 37,689 19,275 18,414 15-19 31,708 16,284 15,424 31,530 16,185 15,345 34,293 17,592 16,701 20-24 27,775 13,957 13,818 27,974 14,013 13,961 27,762 13,909 13,853 25-29 32,019 16,003 16,016 32,190 16,089 16,101 32,248 16,072 16,176 30-34 34,407 17,430 16,977 35,747 18,089 17,658 35,667 18,040 17,627 35-39 33,796 17,026 16,770 36,430 18,484 17,946 37,720 19,114 18,606 40-44 31,882 15,842 16,040 34,828 17,533 17,295 37,537 19,053 18,484 45-49 31,116 15,193 15,923 32,461 16,096 16,365 35,390 17,797 17,593 50-54 32,434 16,030 16,404 31,328 15,260 16,068 32,638 16,152 16,486 55-59 30,366 15,104 15,262 32,038 15,786 16,252 30,992 15,084 15,908 60-64 30,753 14,846 15,907 29,429 14,472 14,957 31,004 15,065 15,939 65-69 27,796 13,391 14,405 29,735 14,150 15,585 28,518 13,848 14,670 70-74 23,943 10,929 13,014 26,153 12,338 13,815 28,126 13,102 15,024 75-79 18,762 8,409 10,353 21,523 9,486 12,037 23,644 10,817 12,827 80-84 11,203 4,864 6,339 15,739 6,708 9,031 18,021 7,541 10,480 85+ 9,908 3,653 6,255 13,213 4,974 8,239 18,407 6,936 11,471
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 585,137 287,785 297,352 2010-15 21,838 28,429 15,778 9,187 0-4 36,160 18,482 17,678 2015-20 30,683 30,908 18,096 17,871 5-9 37,750 19,295 18,455 2020-25 30,240 32,771 20,189 17,658 10-14 39,007 19,945 19,062 2025-30 28,593 34,129 23,538 18,002 15-19 36,086 18,517 17,569 2030-35 25,490 34,942 27,311 17,859 20-24 30,248 15,151 15,097 2035-40 22,930 35,618 30,611 17,923 25-29 31,930 15,920 16,010 30-34 35,565 17,923 17,642 35-39 37,580 19,034 18,546 40-44 38,870 19,699 19,171 45-49 38,193 19,365 18,828 50-54 35,562 17,848 17,714 55-59 32,340 16,009 16,331 60-64 29,983 14,378 15,605 65-69 30,080 14,424 15,656 70-74 27,043 12,886 14,157 75-79 25,607 11,553 14,054 80-84 19,940 8,741 11,199 85+ 23,193 8,615 14,578
26
OFFICE OF FINANCIAL MANAGEMENT
0
100,000
200,000
300,000
400,000
500,000
600,000
700,000
800,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Clark County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
27
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Columbia Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 4,078 2,022 2,056 4,047 1,999 2,048 4,013 1,972 2,041 0-4 216 115 101 204 103 101 220 108 112 5-9 197 100 97 223 120 103 206 100 106 10-14 247 116 131 201 102 99 225 122 103 15-19 230 118 112 236 116 120 179 100 79 20-24 158 76 82 225 102 123 217 96 121 25-29 182 94 88 152 75 77 226 111 115 30-34 166 92 74 171 91 80 146 71 75 35-39 193 89 104 156 91 65 178 90 88 40-44 229 124 105 196 91 105 147 85 62 45-49 324 158 166 242 130 112 198 94 104 50-54 306 154 152 329 159 170 229 119 110 55-59 342 171 171 287 140 147 321 153 168 60-64 351 178 173 330 163 167 296 145 151 65-69 305 144 161 339 168 171 322 159 163 70-74 222 119 103 290 136 154 328 162 166 75-79 149 68 81 212 112 100 266 122 144 80-84 116 52 64 113 50 63 157 79 78 85+ 145 54 91 141 50 91 152 56 96
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 3,968 1,935 2,033 3,895 1,887 2,008 3,800 1,834 1,966 0-4 238 122 116 230 122 108 215 109 106 5-9 226 113 113 236 125 111 236 125 111 10-14 196 98 98 225 118 107 234 121 113 15-19 200 115 85 173 94 79 207 113 94 20-24 165 77 88 182 95 87 165 76 89 25-29 229 106 123 170 83 87 191 104 87 30-34 228 114 114 222 94 128 167 80 87 35-39 141 73 68 227 108 119 227 104 123 40-44 161 83 78 149 75 74 227 113 114 45-49 144 78 66 158 75 83 142 73 69 50-54 184 78 106 144 75 69 153 76 77 55-59 220 113 107 169 75 94 140 73 67 60-64 321 154 167 214 118 96 179 80 99 65-69 303 148 155 325 153 172 207 110 97 70-74 315 154 161 295 140 155 321 143 178 75-79 296 143 153 287 132 155 264 119 145 80-84 208 86 122 242 110 132 232 100 132 85+ 193 80 113 247 95 152 293 115 178
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 3,700 1,785 1,915 2010-15 -31 193 255 31 0-4 207 107 100 2015-20 -34 210 284 40 5-9 229 120 109 2020-25 -45 218 310 47 10-14 233 122 111 2025-30 -73 216 346 57 15-19 224 122 102 2030-35 -95 209 364 60 20-24 185 90 95 2035-40 -00 204 365 61 25-29 171 89 82 30-34 191 101 90 35-39 166 83 83 40-44 222 95 127 45-49 214 104 110 50-54 144 71 73 55-59 154 75 79 60-64 146 73 73 65-69 177 76 101 70-74 203 102 101 75-79 299 134 165 80-84 210 91 119 85+ 325 130 195
28
OFFICE OF FINANCIAL MANAGEMENT
3,000
3,250
3,500
3,750
4,000
4,250
4,500
4,750
5,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Columbia County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
29
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Cowlitz Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 102,410 50,542 51,868 105,130 51,808 53,322 108,588 53,390 55,198 0-4 6,564 3,274 3,290 6,478 3,315 3,163 6,928 3,544 3,384 5-9 6,760 3,370 3,390 6,738 3,364 3,374 6,728 3,440 3,288 10-14 6,994 3,593 3,401 6,921 3,456 3,465 6,864 3,427 3,437 15-19 7,157 3,656 3,501 6,460 3,322 3,138 6,353 3,174 3,179 20-24 5,683 2,820 2,863 6,095 3,035 3,060 5,449 2,726 2,723 25-29 5,702 2,837 2,865 6,636 3,294 3,342 7,141 3,553 3,588 30-34 5,956 2,975 2,981 5,921 2,974 2,947 6,905 3,458 3,447 35-39 6,140 3,061 3,079 5,919 2,957 2,962 5,997 3,021 2,976 40-44 6,420 3,189 3,231 6,320 3,154 3,166 5,899 2,942 2,957 45-49 7,237 3,632 3,605 6,467 3,189 3,278 6,339 3,139 3,200 50-54 7,837 3,947 3,890 7,439 3,705 3,734 6,494 3,185 3,309 55-59 7,342 3,644 3,698 7,899 3,917 3,982 7,479 3,677 3,802 60-64 6,813 3,341 3,472 7,246 3,539 3,707 7,958 3,878 4,080 65-69 5,173 2,557 2,616 6,439 3,142 3,297 7,155 3,473 3,682 70-74 3,618 1,760 1,858 4,609 2,241 2,368 6,019 2,891 3,128 75-79 2,728 1,258 1,470 3,045 1,435 1,610 3,998 1,883 2,115 80-84 2,117 885 1,232 2,134 935 1,199 2,391 1,075 1,316 85+ 2,169 743 1,426 2,364 834 1,530 2,491 904 1,587
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 111,706 54,809 56,897 114,158 55,880 58,278 115,798 56,538 59,260 0-4 7,039 3,601 3,438 7,024 3,588 3,436 6,958 3,552 3,406 5-9 7,148 3,653 3,495 7,266 3,715 3,551 7,255 3,705 3,550 10-14 6,853 3,509 3,344 7,289 3,730 3,559 7,424 3,796 3,628 15-19 6,309 3,153 3,156 6,304 3,229 3,075 6,717 3,441 3,276 20-24 5,367 2,610 2,757 5,370 2,618 2,752 5,373 2,688 2,685 25-29 6,362 3,175 3,187 6,256 3,042 3,214 6,213 3,026 3,187 30-34 7,478 3,761 3,717 6,651 3,357 3,294 6,528 3,207 3,321 35-39 6,960 3,490 3,470 7,557 3,814 3,743 6,719 3,400 3,319 40-44 5,978 3,012 2,966 6,941 3,477 3,464 7,556 3,810 3,746 45-49 5,931 2,937 2,994 5,987 2,993 2,994 6,960 3,464 3,496 50-54 6,378 3,143 3,235 5,956 2,940 3,016 6,029 2,997 3,032 55-59 6,553 3,158 3,395 6,471 3,150 3,321 6,069 2,968 3,101 60-64 7,546 3,643 3,903 6,617 3,131 3,486 6,533 3,118 3,415 65-69 7,890 3,830 4,060 7,480 3,589 3,891 6,600 3,111 3,489 70-74 6,701 3,203 3,498 7,451 3,564 3,887 7,050 3,336 3,714 75-79 5,253 2,443 2,810 5,860 2,725 3,135 6,555 3,043 3,512 80-84 3,171 1,433 1,738 4,172 1,855 2,317 4,673 2,074 2,599 85+ 2,789 1,055 1,734 3,506 1,363 2,143 4,586 1,802 2,784
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 116,897 56,974 59,923 2010-15 2,720 6,474 4,859 1,105 0-4 6,936 3,549 3,387 2015-20 3,458 6,861 5,327 1,924 5-9 7,192 3,676 3,516 2020-25 3,118 6,958 5,689 1,849 10-14 7,404 3,783 3,621 2025-30 2,452 6,951 6,350 1,851 15-19 6,851 3,514 3,337 2030-35 1,640 6,885 7,046 1,801 20-24 5,732 2,861 2,871 2035-40 1,099 6,853 7,556 1,802 25-29 6,207 3,094 3,113 30-34 6,496 3,191 3,305 35-39 6,625 3,252 3,373 40-44 6,726 3,402 3,324 45-49 7,586 3,813 3,773 50-54 7,018 3,475 3,543 55-59 6,143 3,024 3,119 60-64 6,146 2,943 3,203 65-69 6,536 3,112 3,424 70-74 6,253 2,902 3,351 75-79 6,214 2,847 3,367 80-84 5,299 2,362 2,937 85+ 5,533 2,174 3,359
30
OFFICE OF FINANCIAL MANAGEMENT
50,000
75,000
100,000
125,000
150,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Cowlitz County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
31
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Douglas Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 38,431 19,198 19,233 40,603 20,302 20,301 43,619 21,819 21,800 0-4 2,803 1,434 1,369 2,824 1,442 1,382 3,099 1,586 1,513 5-9 2,832 1,418 1,414 2,917 1,497 1,420 3,011 1,542 1,469 10-14 2,956 1,540 1,416 2,963 1,482 1,481 3,086 1,583 1,503 15-19 2,895 1,504 1,391 2,799 1,464 1,335 2,834 1,428 1,406 20-24 2,192 1,141 1,051 2,531 1,287 1,244 2,450 1,250 1,200 25-29 2,360 1,209 1,151 2,548 1,322 1,226 2,950 1,487 1,463 30-34 2,344 1,151 1,193 2,544 1,316 1,228 2,834 1,487 1,347 35-39 2,342 1,159 1,183 2,395 1,173 1,222 2,699 1,401 1,298 40-44 2,318 1,150 1,168 2,455 1,222 1,233 2,479 1,214 1,265 45-49 2,591 1,301 1,290 2,334 1,150 1,184 2,516 1,246 1,270 50-54 2,685 1,345 1,340 2,651 1,323 1,328 2,371 1,168 1,203 55-59 2,514 1,239 1,275 2,659 1,315 1,344 2,639 1,309 1,330 60-64 2,156 1,066 1,090 2,464 1,214 1,250 2,689 1,326 1,363 65-69 1,747 869 878 2,066 1,017 1,049 2,505 1,221 1,284 70-74 1,291 640 651 1,662 826 836 2,059 1,013 1,046 75-79 1,008 487 521 1,150 559 591 1,503 742 761 80-84 701 298 403 831 396 435 935 435 500 85+ 696 247 449 810 297 513 960 381 579
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 46,662 23,360 23,302 49,583 24,828 24,755 52,256 26,178 26,078 0-4 3,335 1,706 1,629 3,483 1,785 1,698 3,553 1,814 1,739 5-9 3,303 1,694 1,609 3,533 1,814 1,719 3,686 1,883 1,803 10-14 3,174 1,619 1,555 3,470 1,778 1,692 3,702 1,897 1,805 15-19 2,945 1,513 1,432 3,016 1,553 1,463 3,287 1,682 1,605 20-24 2,475 1,207 1,268 2,583 1,297 1,286 2,627 1,322 1,305 25-29 2,851 1,450 1,401 2,860 1,394 1,466 2,990 1,492 1,498 30-34 3,265 1,673 1,592 3,137 1,604 1,533 3,127 1,551 1,576 35-39 2,970 1,567 1,403 3,418 1,750 1,668 3,271 1,688 1,583 40-44 2,775 1,447 1,328 3,043 1,597 1,446 3,501 1,805 1,696 45-49 2,514 1,233 1,281 2,816 1,463 1,353 3,086 1,626 1,460 50-54 2,538 1,255 1,283 2,527 1,232 1,295 2,834 1,459 1,375 55-59 2,368 1,160 1,208 2,522 1,227 1,295 2,488 1,194 1,294 60-64 2,669 1,316 1,353 2,406 1,179 1,227 2,575 1,271 1,304 65-69 2,723 1,337 1,386 2,714 1,340 1,374 2,445 1,190 1,255 70-74 2,510 1,229 1,281 2,727 1,347 1,380 2,747 1,357 1,390 75-79 1,878 904 974 2,316 1,121 1,195 2,521 1,235 1,286 80-84 1,240 589 651 1,564 734 830 1,938 913 1,025 85+ 1,129 461 668 1,448 613 835 1,878 799 1,079
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 54,762 27,447 27,315 2010-15 2,172 2,790 1,558 940 0-4 3,668 1,874 1,794 2015-20 3,016 3,041 1,786 1,761 5-9 3,756 1,931 1,825 2020-25 3,043 3,274 1,980 1,749 10-14 3,842 1,969 1,873 2025-30 2,921 3,417 2,267 1,771 15-19 3,521 1,815 1,706 2030-35 2,673 3,505 2,574 1,742 20-24 2,867 1,438 1,429 2035-40 2,506 3,625 2,861 1,742 25-29 3,040 1,517 1,523 30-34 3,244 1,646 1,598 35-39 3,284 1,629 1,655 40-44 3,364 1,729 1,635 45-49 3,542 1,821 1,721 50-54 3,110 1,630 1,480 55-59 2,798 1,420 1,378 60-64 2,569 1,243 1,326 65-69 2,641 1,289 1,352 70-74 2,465 1,213 1,252 75-79 2,530 1,241 1,289 80-84 2,111 1,003 1,108 85+ 2,410 1,039 1,371
32
OFFICE OF FINANCIAL MANAGEMENT
10,000
20,000
30,000
40,000
50,000
60,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Douglas County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
33
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Ferry Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 7,551 3,905 3,646 7,619 3,943 3,676 7,706 3,984 3,722 0-4 388 199 189 313 163 150 329 171 158 5-9 376 220 156 411 212 199 329 164 165 10-14 430 203 227 387 227 160 424 215 209 15-19 543 322 221 579 308 271 540 326 214 20-24 402 225 177 368 215 153 401 203 198 25-29 335 172 163 429 224 205 371 205 166 30-34 317 167 150 351 182 169 446 240 206 35-39 340 178 162 311 161 150 352 188 164 40-44 401 180 221 337 177 160 320 169 151 45-49 538 262 276 401 178 223 341 181 160 50-54 614 295 319 556 264 292 397 174 223 55-59 759 388 371 652 316 336 602 297 305 60-64 680 376 304 778 407 371 671 334 337 65-69 523 258 265 628 343 285 750 396 354 70-74 377 210 167 456 227 229 570 320 250 75-79 240 136 104 311 173 138 395 183 212 80-84 135 65 70 192 114 78 264 133 131 85+ 153 49 104 159 52 107 204 85 119
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 7,751 3,982 3,769 7,754 3,968 3,786 7,740 3,951 3,789 0-4 336 171 165 353 180 173 351 179 172 5-9 353 181 172 359 184 175 377 193 184 10-14 348 176 172 372 194 178 400 201 199 15-19 578 321 257 513 292 221 543 311 232 20-24 373 229 144 393 208 185 366 199 167 25-29 406 181 225 364 202 162 396 198 198 30-34 398 227 171 440 197 243 393 224 169 35-39 460 243 217 418 237 181 456 212 244 40-44 358 182 176 481 258 223 435 235 200 45-49 319 164 155 368 189 179 473 249 224 50-54 349 187 162 337 176 161 384 200 184 55-59 426 190 236 385 204 181 364 199 165 60-64 624 317 307 462 211 251 416 221 195 65-69 665 333 332 603 306 297 428 199 229 70-74 690 356 334 594 294 300 553 275 278 75-79 496 263 233 596 295 301 508 235 273 80-84 310 139 171 377 197 180 470 224 246 85+ 262 122 140 339 144 195 427 197 230
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 7,692 3,925 3,767 2010-15 68 316 381 133 0-4 349 179 170 2015-20 87 333 445 199 5-9 379 196 183 2020-25 45 338 519 226 10-14 402 201 201 2025-30 3 339 574 238 15-19 556 316 240 2030-35 -14 339 623 270 20-24 380 207 173 2035-40 -48 337 650 265 25-29 342 170 172 30-34 439 221 218 35-39 417 237 180 40-44 469 217 252 45-49 438 234 204 50-54 481 259 222 55-59 424 222 202 60-64 386 215 171 65-69 407 217 190 70-74 404 185 219 75-79 476 233 243 80-84 408 184 224 85+ 535 232 303
34
OFFICE OF FINANCIAL MANAGEMENT
2,000
4,000
6,000
8,000
10,000
12,000
14,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Ferry County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
35
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Franklin Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 78,163 40,447 37,716 87,755 45,321 42,434 100,926 52,494 48,432 0-4 8,297 4,251 4,046 8,758 4,486 4,272 9,880 5,060 4,820 5-9 7,699 3,935 3,764 8,782 4,506 4,276 9,529 4,883 4,646 10-14 6,912 3,572 3,340 8,176 4,185 3,991 9,502 4,875 4,627 15-19 6,214 3,218 2,996 6,764 3,548 3,216 8,246 4,346 3,900 20-24 5,645 2,986 2,659 5,695 2,973 2,722 6,671 3,724 2,947 25-29 6,482 3,416 3,066 6,409 3,325 3,084 6,835 3,669 3,166 30-34 6,187 3,264 2,923 7,125 3,748 3,377 7,376 3,869 3,507 35-39 5,464 2,824 2,640 6,401 3,355 3,046 7,697 4,027 3,670 40-44 4,683 2,542 2,141 5,841 3,025 2,816 6,758 3,545 3,213 45-49 4,278 2,206 2,072 4,784 2,589 2,195 6,043 3,119 2,924 50-54 4,078 2,111 1,967 4,404 2,269 2,135 4,891 2,644 2,247 55-59 3,734 1,980 1,754 4,001 2,056 1,945 4,370 2,244 2,126 60-64 2,794 1,435 1,359 3,538 1,861 1,677 3,884 1,980 1,904 65-69 1,948 974 974 2,558 1,302 1,256 3,423 1,783 1,640 70-74 1,342 675 667 1,722 850 872 2,392 1,197 1,195 75-79 993 463 530 1,160 567 593 1,526 724 802 80-84 780 330 450 803 355 448 946 440 506 85+ 633 265 368 834 321 513 957 365 592
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 115,142 60,028 55,114 130,284 67,662 62,622 146,103 75,614 70,489 0-4 11,042 5,664 5,378 12,148 6,241 5,907 13,316 6,843 6,473 5-9 10,764 5,521 5,243 12,080 6,203 5,877 13,194 6,781 6,413 10-14 10,330 5,298 5,032 11,711 6,018 5,693 13,045 6,706 6,339 15-19 9,714 5,177 4,537 10,592 5,628 4,964 11,899 6,321 5,578 20-24 8,227 4,632 3,595 9,532 5,307 4,225 10,285 5,693 4,592 25-29 7,583 4,164 3,419 8,981 4,826 4,155 10,430 5,569 4,861 30-34 7,631 3,983 3,648 8,335 4,375 3,960 9,864 5,106 4,758 35-39 7,879 4,057 3,822 8,098 4,095 4,003 8,813 4,497 4,316 40-44 8,133 4,258 3,875 8,347 4,302 4,045 8,528 4,318 4,210 45-49 7,018 3,676 3,342 8,474 4,437 4,037 8,635 4,445 4,190 50-54 6,191 3,201 2,990 7,206 3,774 3,432 8,648 4,526 4,122 55-59 4,866 2,629 2,237 6,190 3,199 2,991 7,176 3,754 3,422 60-64 4,272 2,176 2,096 4,796 2,579 2,217 6,084 3,111 2,973 65-69 3,776 1,898 1,878 4,154 2,092 2,062 4,691 2,500 2,191 70-74 3,223 1,655 1,568 3,546 1,748 1,798 3,928 1,948 1,980 75-79 2,128 1,033 1,095 2,906 1,456 1,450 3,180 1,521 1,659 80-84 1,245 561 684 1,744 810 934 2,413 1,163 1,250 85+ 1,120 445 675 1,444 572 872 1,974 812 1,162
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 162,900 84,034 78,866 2010-15 9,592 8,627 1,863 2,828 0-4 14,929 7,676 7,253 2015-20 13,171 9,650 2,245 5,766 5-9 14,384 7,396 6,988 2020-25 14,216 10,813 2,600 6,003 10-14 14,179 7,293 6,886 2025-30 15,142 11,957 3,070 6,255 15-19 13,135 6,958 6,177 2030-35 15,819 13,253 3,656 6,222 20-24 11,463 6,311 5,152 2035-40 16,797 14,989 4,318 6,126 25-29 11,277 5,991 5,286 30-34 11,382 5,896 5,486 35-39 10,401 5,269 5,132 40-44 9,256 4,731 4,525 45-49 8,799 4,452 4,347 50-54 8,780 4,515 4,265 55-59 8,590 4,473 4,117 60-64 7,043 3,658 3,385 65-69 5,928 3,001 2,927 70-74 4,448 2,342 2,106 75-79 3,537 1,703 1,834 80-84 2,622 1,197 1,425 85+ 2,747 1,172 1,575
36
OFFICE OF FINANCIAL MANAGEMENT
0
25,000
50,000
75,000
100,000
125,000
150,000
175,000
200,000
225,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Franklin County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
37
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Garfield Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 2,266 1,118 1,148 2,238 1,104 1,134 2,220 1,093 1,127 0-4 96 49 47 104 52 52 108 55 53 5-9 107 52 55 96 50 46 107 54 53 10-14 159 85 74 104 50 54 99 51 48 15-19 148 81 67 153 83 70 98 49 49 20-24 75 43 32 124 65 59 121 63 58 25-29 89 42 47 95 50 45 154 85 69 30-34 105 53 52 94 46 48 100 54 46 35-39 116 64 52 98 53 45 99 49 50 40-44 107 43 64 120 66 54 105 52 53 45-49 165 81 84 107 44 63 116 62 54 50-54 183 97 86 177 83 94 107 43 64 55-59 221 107 114 203 108 95 186 88 98 60-64 189 94 95 230 110 120 206 106 100 65-69 127 70 57 172 85 87 224 103 121 70-74 94 41 53 102 52 50 145 69 76 75-79 101 46 55 77 32 45 91 47 44 80-84 88 37 51 80 34 46 57 22 35 85+ 96 33 63 102 41 61 97 41 56
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 2,210 1,089 1,121 2,202 1,083 1,119 2,175 1,070 1,105 0-4 117 57 60 120 62 58 115 59 56 5-9 110 57 53 119 61 58 128 66 62 10-14 107 55 52 116 58 58 131 66 65 15-19 97 51 46 116 59 57 112 58 54 20-24 95 45 50 83 39 44 88 43 45 25-29 142 72 70 103 52 51 95 51 44 30-34 145 80 65 146 74 72 113 59 54 35-39 94 51 43 156 84 72 152 80 72 40-44 104 52 52 105 59 46 145 76 69 45-49 103 52 51 96 48 48 99 59 40 50-54 114 63 51 109 57 52 94 44 50 55-59 121 51 70 119 61 58 120 55 65 60-64 191 86 105 113 44 69 134 67 67 65-69 203 103 100 171 82 89 110 42 68 70-74 199 93 106 163 79 84 148 69 79 75-79 117 54 63 157 71 86 144 71 73 80-84 71 38 33 114 56 58 135 59 76 85+ 80 29 51 96 37 59 112 46 66
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 2,143 1,053 1,090 2010-15 -8 106 153 19 0-4 114 58 56 2015-20 -8 116 160 26 5-9 119 60 59 2020-25 -0 124 159 25 10-14 132 67 65 2025-30 -8 123 164 33 15-19 126 65 61 2030-35 -7 114 175 34 20-24 104 51 53 2035-40 -2 110 181 39 25-29 100 50 50 30-34 105 56 49 35-39 107 52 55 40-44 158 83 75 45-49 148 76 72 50-54 90 51 39 55-59 102 45 57 60-64 120 56 64 65-69 129 70 59 70-74 99 36 63 75-79 133 61 72 80-84 114 57 57 85+ 143 59 84
38
OFFICE OF FINANCIAL MANAGEMENT
0
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Garfield County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
39
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Grant Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 89,120 45,420 43,700 95,822 48,660 47,162 104,078 52,761 51,317 0-4 8,075 4,126 3,949 8,274 4,232 4,042 8,725 4,465 4,260 5-9 7,421 3,733 3,688 8,417 4,307 4,110 8,740 4,472 4,268 10-14 7,350 3,760 3,590 7,733 3,888 3,845 8,801 4,510 4,291 15-19 7,193 3,799 3,394 6,965 3,575 3,390 7,298 3,684 3,614 20-24 6,101 3,338 2,763 6,263 3,230 3,033 6,016 3,003 3,013 25-29 6,008 3,178 2,830 6,312 3,393 2,919 7,290 3,753 3,537 30-34 5,681 2,855 2,826 6,497 3,476 3,021 6,885 3,741 3,144 35-39 5,492 2,781 2,711 5,790 2,914 2,876 6,769 3,628 3,141 40-44 5,180 2,692 2,488 5,773 2,925 2,848 5,920 2,980 2,940 45-49 5,429 2,778 2,651 5,297 2,731 2,566 5,896 2,977 2,919 50-54 5,396 2,748 2,648 5,644 2,873 2,771 5,402 2,772 2,630 55-59 4,935 2,504 2,431 5,510 2,763 2,747 5,768 2,897 2,871 60-64 4,328 2,135 2,193 4,941 2,477 2,464 5,607 2,767 2,840 65-69 3,469 1,765 1,704 4,144 2,036 2,108 4,935 2,462 2,473 70-74 2,383 1,169 1,214 3,136 1,579 1,557 3,908 1,884 2,024 75-79 1,982 953 1,029 2,015 953 1,062 2,759 1,358 1,401 80-84 1,409 630 779 1,579 721 858 1,590 713 877 85+ 1,288 476 812 1,532 587 945 1,769 695 1,074
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 112,525 56,957 55,568 121,204 61,227 59,977 129,779 65,433 64,346 0-4 9,200 4,717 4,483 9,809 5,028 4,781 10,277 5,274 5,003 5-9 9,194 4,717 4,477 9,700 4,972 4,728 10,318 5,290 5,028 10-14 9,132 4,681 4,451 9,594 4,919 4,675 10,090 5,174 4,916 15-19 8,323 4,277 4,046 8,644 4,448 4,196 9,064 4,663 4,401 20-24 6,331 3,117 3,214 7,253 3,639 3,614 7,508 3,774 3,734 25-29 6,969 3,467 3,502 7,322 3,592 3,730 8,349 4,174 4,175 30-34 7,975 4,154 3,821 7,631 3,844 3,787 7,947 3,947 4,000 35-39 7,141 3,887 3,254 8,319 4,355 3,964 7,913 3,996 3,917 40-44 6,915 3,707 3,208 7,289 3,968 3,321 8,492 4,443 4,049 45-49 6,042 3,024 3,018 7,046 3,765 3,281 7,415 4,024 3,391 50-54 6,016 3,020 2,996 6,169 3,073 3,096 7,188 3,817 3,371 55-59 5,520 2,799 2,721 6,154 3,054 3,100 6,306 3,102 3,204 60-64 5,895 2,918 2,977 5,660 2,830 2,830 6,328 3,096 3,232 65-69 5,631 2,772 2,859 5,925 2,921 3,004 5,716 2,855 2,861 70-74 4,693 2,308 2,385 5,371 2,608 2,763 5,664 2,762 2,902 75-79 3,414 1,597 1,817 4,160 2,000 2,160 4,766 2,249 2,517 80-84 2,219 1,049 1,170 2,722 1,217 1,505 3,362 1,556 1,806 85+ 1,915 746 1,169 2,436 994 1,442 3,076 1,237 1,839
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 138,337 69,638 68,699 2010-15 6,702 8,203 3,090 1,589 0-4 10,819 5,550 5,269 2015-20 8,256 8,615 3,581 3,222 5-9 10,779 5,530 5,249 2020-25 8,447 9,097 3,988 3,338 10-14 10,713 5,497 5,216 2025-30 8,679 9,739 4,511 3,451 15-19 9,506 4,894 4,612 2030-35 8,575 10,261 5,110 3,424 20-24 7,878 3,962 3,916 2035-40 8,558 10,844 5,680 3,394 25-29 8,628 4,320 4,308 30-34 9,001 4,550 4,451 35-39 8,238 4,099 4,139 40-44 8,050 4,068 3,982 45-49 8,627 4,493 4,134 50-54 7,538 4,072 3,466 55-59 7,343 3,859 3,484 60-64 6,494 3,151 3,343 65-69 6,403 3,127 3,276 70-74 5,467 2,697 2,770 75-79 5,067 2,408 2,659 80-84 3,893 1,770 2,123 85+ 3,893 1,591 2,302
40
OFFICE OF FINANCIAL MANAGEMENT
25,000
50,000
75,000
100,000
125,000
150,000
175,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Grant County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
41
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Grays Harbor Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 72,797 37,357 35,440 73,575 37,952 35,623 74,408 38,396 36,012 0-4 4,260 2,136 2,124 4,125 2,108 2,017 4,147 2,120 2,027 5-9 4,141 2,073 2,068 4,355 2,185 2,170 4,225 2,159 2,066 10-14 4,493 2,304 2,189 4,231 2,115 2,116 4,413 2,212 2,201 15-19 4,770 2,499 2,271 4,717 2,406 2,311 4,410 2,207 2,203 20-24 4,312 2,364 1,948 4,007 2,288 1,719 3,888 2,154 1,734 25-29 4,294 2,347 1,947 4,535 2,604 1,931 4,527 2,502 2,025 30-34 4,266 2,361 1,905 4,284 2,288 1,996 4,496 2,534 1,962 35-39 4,216 2,296 1,920 4,114 2,232 1,882 4,179 2,188 1,991 40-44 4,390 2,354 2,036 4,272 2,308 1,964 4,031 2,164 1,867 45-49 5,176 2,682 2,494 4,348 2,316 2,032 4,213 2,263 1,950 50-54 5,707 2,879 2,828 5,267 2,725 2,542 4,313 2,301 2,012 55-59 5,634 2,842 2,792 5,990 3,038 2,952 5,499 2,866 2,633 60-64 5,289 2,607 2,682 5,650 2,874 2,776 6,118 3,129 2,989 65-69 3,933 2,020 1,913 4,782 2,340 2,442 5,342 2,702 2,640 70-74 2,936 1,443 1,493 3,351 1,694 1,657 4,293 2,059 2,234 75-79 2,022 975 1,047 2,420 1,144 1,276 2,803 1,378 1,425 80-84 1,509 628 881 1,530 706 824 1,845 824 1,021 85+ 1,449 547 902 1,597 581 1,016 1,666 634 1,032
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 75,529 39,090 36,439 76,428 39,555 36,873 76,905 39,786 37,119 0-4 4,230 2,163 2,067 4,313 2,207 2,106 4,344 2,221 2,123 5-9 4,272 2,185 2,087 4,405 2,258 2,147 4,482 2,296 2,186 10-14 4,317 2,211 2,106 4,385 2,245 2,140 4,516 2,312 2,204 15-19 4,659 2,358 2,301 4,641 2,392 2,249 4,741 2,448 2,293 20-24 3,736 2,073 1,663 3,960 2,187 1,773 3,943 2,225 1,718 25-29 4,441 2,413 2,028 4,145 2,215 1,930 4,395 2,338 2,057 30-34 4,555 2,469 2,086 4,490 2,360 2,130 4,185 2,157 2,028 35-39 4,427 2,450 1,977 4,499 2,372 2,127 4,439 2,271 2,168 40-44 4,122 2,129 1,993 4,374 2,401 1,973 4,440 2,317 2,123 45-49 3,990 2,139 1,851 4,103 2,123 1,980 4,351 2,386 1,965 50-54 4,202 2,263 1,939 4,016 2,158 1,858 4,110 2,123 1,987 55-59 4,535 2,441 2,094 4,464 2,425 2,039 4,290 2,340 1,950 60-64 5,629 2,964 2,665 4,663 2,530 2,133 4,563 2,484 2,079 65-69 5,806 2,955 2,851 5,369 2,824 2,545 4,467 2,420 2,047 70-74 4,808 2,400 2,408 5,268 2,648 2,620 4,861 2,519 2,342 75-79 3,647 1,696 1,951 4,093 1,995 2,098 4,504 2,206 2,298 80-84 2,154 1,010 1,144 2,839 1,250 1,589 3,197 1,502 1,695 85+ 1,999 771 1,228 2,401 965 1,436 3,077 1,221 1,856
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 77,070 39,861 37,209 2010-15 778 4,119 3,713 372 0-4 4,346 2,231 2,115 2015-20 833 4,105 4,073 801 5-9 4,515 2,313 2,202 2020-25 1,121 4,171 4,274 1,224 10-14 4,601 2,359 2,242 2025-30 899 4,239 4,693 1,353 15-19 4,877 2,518 2,359 2030-35 477 4,283 5,116 1,310 20-24 4,037 2,288 1,749 2035-40 165 4,290 5,421 1,296 25-29 4,356 2,374 1,982 30-34 4,417 2,273 2,144 35-39 4,136 2,066 2,070 40-44 4,406 2,222 2,184 45-49 4,420 2,299 2,121 50-54 4,369 2,394 1,975 55-59 4,427 2,342 2,085 60-64 4,381 2,381 2,000 65-69 4,387 2,384 2,003 70-74 4,045 2,165 1,880 75-79 4,147 2,095 2,052 80-84 3,544 1,662 1,882 85+ 3,659 1,495 2,164
42
OFFICE OF FINANCIAL MANAGEMENT
50,000
60,000
70,000
80,000
90,000
100,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Grays Harbor County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
43
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Island Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 78,506 38,857 39,649 80,337 39,714 40,623 82,735 40,798 41,937 0-4 4,542 2,268 2,274 4,650 2,380 2,270 4,881 2,490 2,391 5-9 4,338 2,274 2,064 4,473 2,218 2,255 4,672 2,375 2,297 10-14 4,518 2,333 2,185 4,213 2,211 2,002 4,415 2,184 2,231 15-19 4,615 2,384 2,231 4,240 2,243 1,997 4,004 2,155 1,849 20-24 5,157 2,901 2,256 5,341 2,927 2,414 4,935 2,739 2,196 25-29 5,023 2,717 2,306 5,567 3,148 2,419 5,732 3,151 2,581 30-34 4,121 2,077 2,044 4,696 2,392 2,304 5,348 2,890 2,458 35-39 4,053 2,026 2,027 3,807 1,889 1,918 4,507 2,264 2,243 40-44 4,412 2,154 2,258 3,692 1,767 1,925 3,387 1,606 1,781 45-49 5,251 2,543 2,708 4,368 2,124 2,244 3,679 1,753 1,926 50-54 5,730 2,646 3,084 5,410 2,604 2,806 4,435 2,143 2,292 55-59 6,206 2,842 3,364 6,354 2,929 3,425 6,015 2,897 3,118 60-64 6,101 2,935 3,166 6,575 3,020 3,555 6,878 3,172 3,706 65-69 4,994 2,360 2,634 5,636 2,693 2,943 6,390 2,902 3,488 70-74 3,500 1,736 1,764 4,340 2,028 2,312 5,142 2,428 2,714 75-79 2,475 1,205 1,270 2,972 1,427 1,545 3,730 1,678 2,052 80-84 1,718 788 930 2,005 935 1,070 2,344 1,079 1,265 85+ 1,752 668 1,084 1,998 779 1,219 2,241 892 1,349
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 85,073 41,881 43,192 87,621 43,145 44,476 90,239 44,471 45,768 0-4 4,933 2,516 2,417 4,976 2,536 2,440 5,128 2,619 2,509 5-9 4,953 2,515 2,438 5,093 2,591 2,502 5,172 2,626 2,546 10-14 4,666 2,370 2,296 5,032 2,554 2,478 5,208 2,644 2,564 15-19 4,253 2,169 2,084 4,568 2,390 2,178 4,990 2,604 2,386 20-24 4,754 2,673 2,081 5,057 2,727 2,330 5,431 2,973 2,458 25-29 5,268 2,941 2,327 5,050 2,864 2,186 5,363 2,895 2,468 30-34 5,569 2,878 2,691 5,244 2,754 2,490 5,073 2,712 2,361 35-39 5,240 2,813 2,427 5,544 2,830 2,714 5,281 2,750 2,531 40-44 4,133 2,004 2,129 4,975 2,598 2,377 5,241 2,586 2,655 45-49 3,410 1,610 1,800 4,234 2,052 2,182 5,111 2,668 2,443 50-54 3,778 1,791 1,987 3,556 1,675 1,881 4,427 2,134 2,293 55-59 4,976 2,402 2,574 4,264 2,025 2,239 4,063 1,923 2,140 60-64 6,561 3,160 3,401 5,461 2,630 2,831 4,693 2,221 2,472 65-69 6,746 3,090 3,656 6,491 3,115 3,376 5,445 2,607 2,838 70-74 5,855 2,621 3,234 6,255 2,829 3,426 6,056 2,882 3,174 75-79 4,421 2,022 2,399 5,096 2,205 2,891 5,486 2,411 3,075 80-84 2,939 1,258 1,681 3,481 1,531 1,950 4,084 1,681 2,403 85+ 2,618 1,048 1,570 3,244 1,239 2,005 3,987 1,535 2,452
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 93,205 46,036 47,169 2010-15 1,831 4,632 3,725 924 0-4 5,400 2,754 2,646 2015-20 2,398 4,818 4,468 2,048 5-9 5,347 2,710 2,637 2020-25 2,338 4,837 5,034 2,535 10-14 5,305 2,698 2,607 2025-30 2,548 4,839 5,534 3,243 15-19 5,199 2,713 2,486 2030-35 2,618 4,967 6,016 3,667 20-24 5,917 3,232 2,685 2035-40 2,966 5,228 6,365 4,103 25-29 5,732 3,144 2,588 30-34 5,459 2,767 2,692 35-39 5,126 2,713 2,413 40-44 5,044 2,547 2,497 45-49 5,421 2,667 2,754 50-54 5,332 2,773 2,559 55-59 5,087 2,474 2,613 60-64 4,496 2,117 2,379 65-69 4,700 2,204 2,496 70-74 5,086 2,405 2,681 75-79 5,326 2,473 2,853 80-84 4,402 1,848 2,554 85+ 4,826 1,797 3,029
44
OFFICE OF FINANCIAL MANAGEMENT
0
20,000
40,000
60,000
80,000
100,000
120,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Island County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
45
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Jefferson Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 29,872 14,798 15,074 30,469 15,033 15,436 32,017 15,718 16,299 0-4 1,068 554 514 1,017 518 499 1,142 585 557 5-9 1,127 556 571 1,118 582 536 1,146 592 554 10-14 1,367 694 673 1,178 587 591 1,248 645 603 15-19 1,354 696 658 1,328 688 640 1,220 620 600 20-24 1,105 619 486 1,210 620 590 1,244 642 602 25-29 1,121 611 510 1,323 742 581 1,422 719 703 30-34 1,197 605 592 1,227 674 553 1,567 890 677 35-39 1,253 649 604 1,202 596 606 1,335 721 614 40-44 1,478 763 715 1,308 667 641 1,274 623 651 45-49 1,942 913 1,029 1,502 767 735 1,369 694 675 50-54 2,561 1,204 1,357 2,050 948 1,102 1,586 792 794 55-59 3,063 1,438 1,625 3,074 1,446 1,628 2,503 1,155 1,348 60-64 3,394 1,616 1,778 3,504 1,664 1,840 3,677 1,746 1,931 65-69 2,852 1,422 1,430 3,267 1,559 1,708 3,612 1,708 1,904 70-74 1,878 959 919 2,554 1,258 1,296 3,117 1,458 1,659 75-79 1,338 700 638 1,575 777 798 2,222 1,066 1,156 80-84 948 477 471 1,046 526 520 1,228 580 648 85+ 826 322 504 986 414 572 1,105 482 623
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 33,678 16,468 17,210 35,657 17,403 18,254 37,914 18,536 19,378 0-4 1,272 647 625 1,345 687 658 1,455 735 720 5-9 1,300 661 639 1,467 748 719 1,616 828 788 10-14 1,291 663 628 1,484 761 723 1,710 867 843 15-19 1,300 695 605 1,371 723 648 1,583 829 754 20-24 1,161 589 572 1,256 664 592 1,321 692 629 25-29 1,458 756 702 1,448 730 718 1,607 853 754 30-34 1,742 892 850 1,842 953 889 1,862 949 913 35-39 1,747 977 770 2,017 1,026 991 2,196 1,128 1,068 40-44 1,439 772 667 1,941 1,078 863 2,283 1,147 1,136 45-49 1,369 667 702 1,558 832 726 2,124 1,167 957 50-54 1,473 732 741 1,468 695 773 1,712 888 824 55-59 1,962 988 974 1,848 910 938 1,873 879 994 60-64 3,013 1,398 1,615 2,433 1,228 1,205 2,308 1,158 1,150 65-69 3,849 1,820 2,029 3,218 1,483 1,735 2,620 1,333 1,287 70-74 3,494 1,626 1,868 3,820 1,778 2,042 3,178 1,438 1,740 75-79 2,734 1,235 1,499 3,151 1,424 1,727 3,478 1,576 1,902 80-84 1,761 798 963 2,185 937 1,248 2,589 1,122 1,467 85+ 1,313 552 761 1,805 746 1,059 2,399 947 1,452
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 40,093 19,708 20,385 2010-15 597 1,008 1,911 1,500 0-4 1,575 800 775 2015-20 1,548 1,083 2,248 2,713 5-9 1,718 878 840 2020-25 1,661 1,178 2,527 3,010 10-14 1,878 957 921 2025-30 1,979 1,239 2,857 3,597 15-19 1,818 949 869 2030-35 2,257 1,301 3,214 4,170 20-24 1,536 796 740 2035-40 2,179 1,411 3,476 4,244 25-29 1,663 870 793 30-34 2,057 1,099 958 35-39 2,195 1,106 1,089 40-44 2,466 1,247 1,219 45-49 2,487 1,240 1,247 50-54 2,345 1,279 1,066 55-59 2,169 1,128 1,041 60-64 2,358 1,129 1,229 65-69 2,494 1,248 1,246 70-74 2,602 1,314 1,288 75-79 2,858 1,249 1,609 80-84 2,863 1,243 1,620 85+ 3,011 1,176 1,835
46
OFFICE OF FINANCIAL MANAGEMENT
0
10,000
20,000
30,000
40,000
50,000
60,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Jefferson County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
47
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
King Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 1,931,249 962,090 969,159 2,012,782 1,004,091 1,008,691 2,108,814 1,052,126 1,056,688 0-4 120,294 61,616 58,678 122,979 62,919 60,060 127,203 65,071 62,132 5-9 113,295 57,899 55,396 119,274 61,115 58,159 124,058 63,461 60,597 10-14 110,789 56,832 53,957 110,852 56,658 54,194 116,768 59,844 56,924 15-19 117,514 60,118 57,396 115,198 58,040 57,158 115,597 57,922 57,675 20-24 129,822 65,628 64,194 142,056 72,163 69,893 141,466 70,503 70,963 25-29 160,656 81,708 78,948 142,698 72,925 69,773 163,695 84,271 79,424 30-34 152,061 77,549 74,512 165,269 84,582 80,687 148,403 76,238 72,165 35-39 149,158 75,962 73,196 147,119 75,053 72,066 163,499 83,859 79,640 40-44 147,632 75,601 72,031 150,767 76,850 73,917 144,617 73,760 70,857 45-49 147,837 74,745 73,092 144,509 73,765 70,744 147,273 74,950 72,323 50-54 143,295 71,813 71,482 146,783 73,957 72,826 140,420 71,480 68,940 55-59 126,272 61,981 64,291 137,283 68,262 69,021 140,456 70,340 70,116 60-64 101,945 49,447 52,498 115,895 56,267 59,628 128,320 62,984 65,336 65-69 67,317 32,165 35,152 90,143 42,958 47,185 106,940 50,855 56,085 70-74 45,430 20,930 24,500 58,203 27,239 30,964 81,704 37,966 43,738 75-79 35,200 15,485 19,715 38,926 17,310 21,616 50,799 22,975 27,824 80-84 28,948 11,429 17,519 28,602 11,969 16,633 31,059 13,104 17,955 85+ 33,784 11,182 22,602 36,226 12,059 24,167 36,537 12,543 23,994
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 2,196,202 1,094,904 1,101,298 2,277,160 1,134,401 1,142,759 2,350,576 1,170,271 1,180,305 0-4 130,189 66,590 63,599 133,271 68,183 65,088 137,246 70,229 67,017 5-9 127,908 65,433 62,475 130,690 66,853 63,837 133,610 68,367 65,243 10-14 121,115 61,973 59,142 124,542 63,731 60,811 127,131 65,075 62,056 15-19 121,156 60,866 60,290 125,336 62,869 62,467 129,059 64,753 64,306 20-24 142,164 70,527 71,637 149,887 74,725 75,162 154,943 77,162 77,781 25-29 162,724 82,129 80,595 163,334 82,122 81,212 170,864 86,287 84,577 30-34 170,519 88,447 82,072 168,718 85,761 82,957 168,816 85,427 83,389 35-39 145,941 75,149 70,792 167,837 87,368 80,469 165,859 84,531 81,328 40-44 160,204 82,156 78,048 142,420 73,337 69,083 164,156 85,511 78,645 45-49 140,897 71,771 69,126 155,841 79,821 76,020 138,218 71,098 67,120 50-54 142,734 72,419 70,315 136,395 69,291 67,104 150,885 77,098 73,787 55-59 134,370 67,988 66,382 136,315 68,643 67,672 129,850 65,278 64,572 60-64 131,230 64,869 66,361 126,129 63,188 62,941 128,379 64,229 64,150 65-69 118,131 56,806 61,325 120,970 58,669 62,301 116,588 57,380 59,208 70-74 96,496 44,722 51,774 106,824 50,156 56,668 109,629 51,990 57,639 75-79 71,223 31,980 39,243 84,254 37,804 46,450 93,619 42,662 50,957 80-84 40,569 17,470 23,099 57,529 24,667 32,862 68,308 29,340 38,968 85+ 38,632 13,609 25,023 46,868 17,213 29,655 63,416 23,854 39,562
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 2,418,850 1,203,837 1,215,013 2010-15 81,533 123,412 60,931 19,052 0-4 142,288 72,822 69,466 2015-20 96,032 126,697 71,671 41,006 5-9 137,498 70,374 67,124 2020-25 87,388 129,821 80,600 38,167 10-14 129,932 66,519 63,413 2025-30 80,958 133,159 89,225 37,024 15-19 131,863 66,178 65,685 2030-35 73,416 137,582 100,150 35,984 20-24 159,867 79,636 80,231 2035-40 68,274 143,014 110,437 35,697 25-29 176,350 88,959 87,391 30-34 176,094 89,424 86,670 35-39 165,833 84,141 81,692 40-44 162,182 82,687 79,495 45-49 159,706 83,134 76,572 50-54 133,498 68,494 65,004 55-59 143,518 72,511 71,007 60-64 122,467 61,292 61,175 65-69 118,596 58,275 60,321 70-74 106,037 51,132 54,905 75-79 96,416 44,439 51,977 80-84 76,323 33,366 42,957 85+ 80,382 30,454 49,928
48
OFFICE OF FINANCIAL MANAGEMENT
750,000
1,000,000
1,250,000
1,500,000
1,750,000
2,000,000
2,250,000
2,500,000
2,750,000
3,000,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
King County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
49
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Kitsap Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 251,133 127,155 123,978 262,032 131,520 130,512 275,546 137,886 137,660 0-4 14,831 7,515 7,316 15,654 8,003 7,651 17,199 8,790 8,409 5-9 15,139 7,726 7,413 15,048 7,609 7,439 15,994 8,170 7,824 10-14 15,987 8,309 7,678 16,013 8,167 7,846 15,830 8,010 7,820 15-19 17,259 9,024 8,235 16,252 8,483 7,769 16,073 8,250 7,823 20-24 18,696 11,108 7,588 18,488 10,404 8,084 17,705 10,010 7,695 25-29 16,880 9,243 7,637 18,155 9,656 8,499 19,497 10,447 9,050 30-34 14,394 7,467 6,927 15,585 8,099 7,486 16,764 8,413 8,351 35-39 14,334 7,269 7,065 14,955 7,750 7,205 16,355 8,506 7,849 40-44 16,189 7,936 8,253 15,252 7,732 7,520 15,374 7,960 7,414 45-49 19,029 9,472 9,557 16,521 8,056 8,465 15,462 7,825 7,637 50-54 19,753 9,665 10,088 19,638 9,718 9,920 16,630 8,070 8,560 55-59 18,878 9,249 9,629 19,641 9,475 10,166 19,442 9,517 9,925 60-64 16,468 7,962 8,506 18,380 8,897 9,483 19,403 9,231 10,172 65-69 11,646 5,737 5,909 15,699 7,445 8,254 18,201 8,641 9,560 70-74 7,506 3,678 3,828 10,813 5,240 5,573 15,209 7,070 8,139 75-79 5,375 2,460 2,915 6,594 3,135 3,459 9,719 4,589 5,130 80-84 4,259 1,764 2,495 4,329 1,881 2,448 5,350 2,447 2,903 85+ 4,510 1,571 2,939 5,015 1,770 3,245 5,339 1,940 3,399
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 289,265 144,281 144,984 301,642 150,042 151,600 311,737 154,760 156,977 0-4 17,849 9,123 8,726 18,207 9,308 8,899 18,463 9,436 9,027 5-9 17,684 9,032 8,652 18,341 9,371 8,970 18,682 9,542 9,140 10-14 16,924 8,650 8,274 18,687 9,547 9,140 19,353 9,891 9,462 15-19 16,018 8,171 7,847 17,078 8,789 8,289 18,833 9,684 9,149 20-24 17,576 9,810 7,766 17,598 9,778 7,820 18,627 10,381 8,246 25-29 18,702 10,094 8,608 18,563 9,871 8,692 18,456 9,766 8,690 30-34 17,947 9,036 8,911 17,283 8,820 8,463 17,184 8,613 8,571 35-39 17,685 8,894 8,791 18,981 9,579 9,402 18,261 9,328 8,933 40-44 16,893 8,784 8,109 18,222 9,165 9,057 19,581 9,886 9,695 45-49 15,674 8,105 7,569 17,210 8,942 8,268 18,529 9,296 9,233 50-54 15,638 7,882 7,756 15,836 8,155 7,681 17,386 8,992 8,394 55-59 16,543 7,945 8,598 15,594 7,799 7,795 15,854 8,121 7,733 60-64 19,318 9,346 9,972 16,432 7,765 8,667 15,470 7,610 7,860 65-69 19,289 8,997 10,292 19,271 9,158 10,113 16,392 7,587 8,805 70-74 17,676 8,243 9,433 18,757 8,588 10,169 18,779 8,775 10,004 75-79 13,675 6,180 7,495 15,861 7,201 8,660 16,874 7,500 9,374 80-84 7,938 3,592 4,346 11,169 4,819 6,350 12,947 5,647 7,300 85+ 6,236 2,397 3,839 8,552 3,387 5,165 12,066 4,705 7,361
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 320,475 158,981 161,494 2010-15 10,899 15,401 9,912 5,410 0-4 19,035 9,718 9,317 2015-20 13,514 16,892 11,734 8,356 5-9 18,952 9,677 9,275 2020-25 13,719 17,440 13,509 9,788 10-14 19,723 10,069 9,654 2025-30 12,377 17,762 15,687 10,302 15-19 19,508 10,025 9,483 2030-35 10,095 18,058 18,103 10,140 20-24 20,405 11,334 9,071 2035-40 8,738 18,637 19,990 10,091 25-29 19,504 10,378 9,126 30-34 17,054 8,490 8,564 35-39 18,153 9,106 9,047 40-44 18,853 9,629 9,224 45-49 19,962 10,056 9,906 50-54 18,706 9,350 9,356 55-59 17,414 8,957 8,457 60-64 15,748 7,933 7,815 65-69 15,457 7,478 7,979 70-74 15,984 7,254 8,730 75-79 16,974 7,745 9,229 80-84 13,796 5,857 7,939 85+ 15,247 5,925 9,322
50
OFFICE OF FINANCIAL MANAGEMENT
50,000
100,000
150,000
200,000
250,000
300,000
350,000
400,000
450,000
500,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Kitsap County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
51
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Kittitas Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 40,915 20,793 20,122 42,592 21,493 21,099 45,255 22,660 22,595 0-4 2,034 1,029 1,005 2,111 1,079 1,032 2,385 1,218 1,167 5-9 2,040 1,033 1,007 2,100 1,060 1,040 2,329 1,197 1,132 10-14 2,147 1,105 1,042 2,111 1,069 1,042 2,304 1,177 1,127 15-19 3,879 1,929 1,950 3,745 1,887 1,858 3,763 1,893 1,870 20-24 6,822 3,653 3,169 7,713 3,962 3,751 7,467 3,723 3,744 25-29 2,764 1,535 1,229 2,899 1,518 1,381 3,374 1,597 1,777 30-34 2,013 1,009 1,004 1,913 1,032 881 2,140 1,134 1,006 35-39 2,010 1,016 994 2,062 1,033 1,029 2,102 1,129 973 40-44 2,100 1,068 1,032 2,102 1,060 1,042 2,196 1,102 1,094 45-49 2,399 1,191 1,208 2,108 1,066 1,042 2,198 1,113 1,085 50-54 2,673 1,349 1,324 2,456 1,218 1,238 2,190 1,107 1,083 55-59 2,534 1,275 1,259 2,745 1,388 1,357 2,591 1,293 1,298 60-64 2,288 1,140 1,148 2,493 1,256 1,237 2,856 1,456 1,400 65-69 1,808 906 902 2,073 1,028 1,045 2,437 1,226 1,211 70-74 1,256 651 605 1,558 771 787 1,934 939 995 75-79 824 389 435 1,051 528 523 1,363 645 718 80-84 603 259 344 642 288 354 859 423 436 85+ 721 256 465 710 250 460 767 288 479
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 47,949 23,902 24,047 50,567 25,161 25,406 53,032 26,396 26,636 0-4 2,613 1,342 1,271 2,753 1,416 1,337 2,841 1,456 1,385 5-9 2,623 1,346 1,277 2,859 1,467 1,392 2,975 1,534 1,441 10-14 2,524 1,300 1,224 2,838 1,460 1,378 3,076 1,580 1,496 15-19 3,962 1,994 1,968 4,214 2,140 2,074 4,582 2,332 2,250 20-24 7,410 3,583 3,827 7,441 3,556 3,885 7,717 3,694 4,023 25-29 3,333 1,613 1,720 3,369 1,616 1,753 3,528 1,700 1,828 30-34 2,441 1,183 1,258 2,472 1,246 1,226 2,512 1,256 1,256 35-39 2,341 1,248 1,093 2,682 1,309 1,373 2,669 1,356 1,313 40-44 2,243 1,203 1,040 2,489 1,322 1,167 2,806 1,369 1,437 45-49 2,299 1,156 1,143 2,325 1,246 1,079 2,570 1,365 1,205 50-54 2,283 1,162 1,121 2,370 1,191 1,179 2,393 1,282 1,111 55-59 2,337 1,183 1,154 2,434 1,231 1,203 2,503 1,257 1,246 60-64 2,711 1,351 1,360 2,436 1,243 1,193 2,526 1,289 1,237 65-69 2,814 1,421 1,393 2,665 1,321 1,344 2,390 1,222 1,168 70-74 2,307 1,142 1,165 2,641 1,313 1,328 2,470 1,204 1,266 75-79 1,681 797 884 2,022 982 1,040 2,324 1,129 1,195 80-84 1,084 495 589 1,353 612 741 1,632 759 873 85+ 943 383 560 1,204 490 714 1,518 612 906
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 55,436 27,613 27,823 2010-15 1,677 2,114 1,509 1,072 0-4 2,965 1,531 1,434 2015-20 2,663 2,331 1,686 2,018 5-9 3,063 1,576 1,487 2020-25 2,694 2,539 1,868 2,023 10-14 3,175 1,638 1,537 2025-30 2,618 2,669 2,109 2,058 15-19 4,820 2,447 2,373 2030-35 2,465 2,790 2,358 2,033 20-24 8,242 3,960 4,282 2035-40 2,404 2,941 2,569 2,032 25-29 3,740 1,819 1,921 30-34 2,690 1,349 1,341 35-39 2,703 1,356 1,347 40-44 2,790 1,416 1,374 45-49 2,882 1,399 1,483 50-54 2,625 1,392 1,233 55-59 2,503 1,348 1,155 60-64 2,600 1,323 1,277 65-69 2,481 1,258 1,223 70-74 2,214 1,112 1,102 75-79 2,161 1,024 1,137 80-84 1,882 881 1,001 85+ 1,900 784 1,116
52
OFFICE OF FINANCIAL MANAGEMENT
10,000
20,000
30,000
40,000
50,000
60,000
70,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Kittitas County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
53
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Klickitat Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 20,318 10,268 10,050 20,606 10,363 10,243 20,943 10,444 10,499 0-4 1,114 561 553 1,053 543 510 1,117 578 539 5-9 1,207 630 577 1,134 572 562 1,082 554 528 10-14 1,336 708 628 1,209 629 580 1,133 572 561 15-19 1,231 608 623 1,374 743 631 1,249 663 586 20-24 832 434 398 940 445 495 1,051 543 508 25-29 927 494 433 919 478 441 1,053 492 561 30-34 1,031 498 533 920 498 422 939 494 445 35-39 1,195 616 579 996 482 514 928 497 431 40-44 1,208 634 574 1,208 619 589 979 469 510 45-49 1,423 720 703 1,212 627 585 1,218 622 596 50-54 1,655 803 852 1,480 744 736 1,213 624 589 55-59 1,853 897 956 1,699 807 892 1,490 735 755 60-64 1,681 859 822 1,878 893 985 1,752 814 938 65-69 1,332 720 612 1,639 840 799 1,924 913 1,011 70-74 908 460 448 1,224 656 568 1,560 786 774 75-79 619 299 320 790 387 403 1,070 560 510 80-84 414 199 215 498 228 270 639 305 334 85+ 352 128 224 433 172 261 546 223 323
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 21,225 10,504 10,721 21,430 10,530 10,900 21,492 10,501 10,991 0-4 1,176 606 570 1,213 618 595 1,209 615 594 5-9 1,149 589 560 1,235 633 602 1,239 635 604 10-14 1,100 566 534 1,181 608 573 1,244 639 605 15-19 1,185 620 565 1,166 612 554 1,259 662 597 20-24 957 494 463 911 453 458 920 467 453 25-29 1,171 605 566 1,059 534 525 1,001 491 510 30-34 1,081 508 573 1,227 639 588 1,130 582 548 35-39 937 482 455 1,085 514 571 1,255 654 601 40-44 915 487 428 923 483 440 1,095 512 583 45-49 988 466 522 915 492 423 944 482 462 50-54 1,229 628 601 1,002 476 526 934 492 442 55-59 1,257 638 619 1,271 636 635 1,042 480 562 60-64 1,556 752 804 1,304 649 655 1,332 650 682 65-69 1,791 826 965 1,592 765 827 1,345 674 671 70-74 1,838 857 981 1,708 774 934 1,528 733 795 75-79 1,363 667 696 1,626 735 891 1,505 663 842 80-84 860 436 424 1,101 510 591 1,316 567 749 85+ 672 277 395 911 399 512 1,194 503 691
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 21,439 10,452 10,987 2010-15 288 1,059 969 198 0-4 1,201 616 585 2015-20 337 1,111 1,177 403 5-9 1,259 647 612 2020-25 282 1,161 1,363 484 10-14 1,285 656 629 2025-30 205 1,183 1,554 576 15-19 1,330 692 638 2030-35 62 1,173 1,723 612 20-24 986 501 485 2035-40 -53 1,166 1,828 609 25-29 1,002 498 504 30-34 1,057 527 530 35-39 1,145 588 557 40-44 1,263 655 608 45-49 1,116 514 602 50-54 974 497 477 55-59 976 509 467 60-64 1,098 498 600 65-69 1,364 666 698 70-74 1,304 641 663 75-79 1,366 642 724 80-84 1,194 503 691 85+ 1,519 602 917
54
OFFICE OF FINANCIAL MANAGEMENT
10,000
15,000
20,000
25,000
30,000
35,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Klickitat County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
55
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Lewis Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 75,455 37,750 37,705 77,621 38,845 38,776 80,385 40,261 40,124 0-4 4,585 2,383 2,202 4,909 2,505 2,404 5,198 2,657 2,541 5-9 4,539 2,327 2,212 4,736 2,464 2,272 5,149 2,632 2,517 10-14 5,094 2,560 2,534 4,675 2,396 2,279 4,902 2,549 2,353 15-19 5,311 2,915 2,396 5,202 2,677 2,525 4,813 2,528 2,285 20-24 4,242 2,206 2,036 4,238 2,281 1,957 4,141 2,070 2,071 25-29 4,269 2,167 2,102 4,876 2,487 2,389 4,860 2,558 2,302 30-34 4,201 2,111 2,090 4,503 2,311 2,192 5,210 2,687 2,523 35-39 4,120 2,039 2,081 4,218 2,118 2,100 4,636 2,379 2,257 40-44 4,449 2,268 2,181 4,286 2,125 2,161 4,287 2,152 2,135 45-49 5,316 2,600 2,716 4,458 2,262 2,196 4,288 2,122 2,166 50-54 5,655 2,832 2,823 5,457 2,667 2,790 4,482 2,271 2,211 55-59 5,482 2,677 2,805 5,977 3,012 2,965 5,754 2,824 2,930 60-64 5,116 2,591 2,525 5,528 2,711 2,817 6,138 3,107 3,031 65-69 4,169 2,036 2,133 4,663 2,347 2,316 5,276 2,565 2,711 70-74 3,116 1,564 1,552 3,585 1,722 1,863 4,208 2,084 2,124 75-79 2,296 1,063 1,233 2,596 1,265 1,331 3,034 1,401 1,633 80-84 1,753 780 973 1,788 776 1,012 1,999 929 1,070 85+ 1,742 631 1,111 1,926 719 1,207 2,010 746 1,264
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 82,924 41,539 41,385 85,165 42,670 42,495 87,092 43,649 43,443 0-4 5,297 2,711 2,586 5,344 2,737 2,607 5,424 2,780 2,644 5-9 5,437 2,783 2,654 5,555 2,844 2,711 5,609 2,871 2,738 10-14 5,328 2,726 2,602 5,633 2,883 2,750 5,764 2,954 2,810 15-19 5,026 2,668 2,358 5,445 2,846 2,599 5,765 3,013 2,752 20-24 3,824 1,953 1,871 4,041 2,092 1,949 4,405 2,238 2,167 25-29 4,735 2,310 2,425 4,341 2,170 2,171 4,569 2,323 2,246 30-34 5,226 2,787 2,439 5,111 2,521 2,590 4,677 2,357 2,320 35-39 5,333 2,750 2,583 5,389 2,874 2,515 5,271 2,609 2,662 40-44 4,695 2,411 2,284 5,396 2,779 2,617 5,462 2,908 2,554 45-49 4,270 2,141 2,129 4,703 2,411 2,292 5,409 2,784 2,625 50-54 4,316 2,125 2,191 4,327 2,165 2,162 4,752 2,436 2,316 55-59 4,723 2,412 2,311 4,563 2,274 2,289 4,611 2,342 2,269 60-64 5,900 2,907 2,993 4,859 2,487 2,372 4,663 2,311 2,352 65-69 5,865 2,947 2,918 5,638 2,757 2,881 4,640 2,361 2,279 70-74 4,786 2,290 2,496 5,332 2,651 2,681 5,126 2,470 2,656 75-79 3,565 1,715 1,850 4,085 1,896 2,189 4,584 2,218 2,366 80-84 2,342 1,023 1,319 2,759 1,273 1,486 3,201 1,414 1,787 85+ 2,256 880 1,376 2,644 1,010 1,634 3,160 1,260 1,900
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 88,967 44,624 44,343 2010-15 2,166 4,872 3,784 1,078 0-4 5,621 2,874 2,747 2015-20 2,764 5,113 4,301 1,952 5-9 5,686 2,910 2,776 2020-25 2,539 5,212 4,582 1,909 10-14 5,809 2,973 2,836 2025-30 2,241 5,254 4,945 1,932 15-19 5,900 3,084 2,816 2030-35 1,927 5,351 5,305 1,881 20-24 4,676 2,390 2,286 2035-40 1,875 5,560 5,581 1,896 25-29 4,977 2,485 2,492 30-34 4,913 2,521 2,392 35-39 4,833 2,440 2,393 40-44 5,347 2,646 2,701 45-49 5,477 2,925 2,552 50-54 5,473 2,818 2,655 55-59 5,103 2,667 2,436 60-64 4,706 2,370 2,336 65-69 4,495 2,212 2,283 70-74 4,226 2,126 2,100 75-79 4,396 2,042 2,354 80-84 3,627 1,690 1,937 85+ 3,702 1,451 2,251
56
OFFICE OF FINANCIAL MANAGEMENT
30,000
40,000
50,000
60,000
70,000
80,000
90,000
100,000
110,000
120,000
130,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Lewis County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
57
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Lincoln Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 10,570 5,277 5,293 10,616 5,306 5,310 10,707 5,352 5,355 0-4 551 294 257 513 263 250 590 307 283 5-9 645 306 339 570 312 258 532 269 263 10-14 744 376 368 666 317 349 586 320 266 15-19 676 355 321 680 344 336 624 293 331 20-24 391 215 176 598 306 292 594 293 301 25-29 405 193 212 457 243 214 678 344 334 30-34 463 234 229 432 212 220 482 264 218 35-39 480 235 245 458 228 230 435 209 226 40-44 566 289 277 489 236 253 469 238 231 45-49 719 351 368 577 297 280 497 244 253 50-54 948 476 472 742 361 381 568 289 279 55-59 916 450 466 1,002 508 494 792 391 401 60-64 869 446 423 937 472 465 1,038 533 505 65-69 690 347 343 799 407 392 880 440 440 70-74 549 279 270 606 304 302 714 361 353 75-79 393 190 203 460 228 232 505 246 259 80-84 282 133 149 304 138 166 358 169 189 85+ 283 108 175 326 130 196 365 142 223
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 10,800 5,399 5,401 10,865 5,421 5,444 10,862 5,417 5,445 0-4 667 342 325 690 353 337 664 333 331 5-9 618 316 302 689 355 334 710 367 343 10-14 536 273 263 625 316 309 704 356 348 15-19 537 281 256 518 261 257 590 303 287 20-24 527 249 278 463 241 222 438 218 220 25-29 692 340 352 611 282 329 551 286 265 30-34 729 376 353 741 370 371 654 307 347 35-39 494 274 220 735 383 352 734 363 371 40-44 449 217 232 488 273 215 740 385 355 45-49 471 233 238 429 207 222 493 279 214 50-54 506 249 257 458 234 224 431 207 224 55-59 586 308 278 533 266 267 475 245 230 60-64 781 394 387 608 317 291 537 267 270 65-69 980 508 472 748 374 374 600 314 286 70-74 802 393 409 885 448 437 671 334 337 75-79 626 304 322 695 327 368 775 386 389 80-84 395 181 214 488 228 260 546 247 299 85+ 404 161 243 461 186 275 549 220 329
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 10,817 5,397 5,420 2010-15 46 510 570 106 0-4 643 325 318 2015-20 91 583 677 185 5-9 699 360 339 2020-25 93 655 744 182 10-14 731 372 359 2025-30 65 678 788 175 15-19 673 342 331 2030-35 -3 652 822 167 20-24 503 248 255 2035-40 -5 627 842 170 25-29 489 243 246 30-34 571 308 263 35-39 671 316 355 40-44 748 373 375 45-49 742 386 356 50-54 493 273 220 55-59 456 223 233 60-64 509 266 243 65-69 517 257 260 70-74 534 276 258 75-79 569 267 302 80-84 636 306 330 85+ 633 256 377
58
OFFICE OF FINANCIAL MANAGEMENT
7,000
8,000
9,000
10,000
11,000
12,000
13,000
14,000
15,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Lincoln County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
59
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Mason Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 60,699 31,400 29,299 63,203 32,541 30,662 67,545 34,598 32,947 0-4 3,278 1,717 1,561 3,274 1,677 1,597 3,513 1,798 1,715 5-9 3,357 1,749 1,608 3,401 1,781 1,620 3,582 1,831 1,751 10-14 3,513 1,808 1,705 3,492 1,817 1,675 3,702 1,939 1,763 15-19 3,688 1,967 1,721 3,886 2,087 1,799 4,001 2,167 1,834 20-24 3,124 1,778 1,346 3,501 2,029 1,472 3,731 2,147 1,584 25-29 3,532 1,944 1,588 3,301 1,839 1,462 3,660 2,079 1,581 30-34 3,371 1,905 1,466 3,597 1,918 1,679 3,574 1,904 1,670 35-39 3,403 1,826 1,577 3,209 1,716 1,493 3,700 1,862 1,838 40-44 3,548 1,890 1,658 3,458 1,803 1,655 3,291 1,713 1,578 45-49 4,388 2,220 2,168 3,568 1,893 1,675 3,590 1,871 1,719 50-54 4,783 2,481 2,302 4,607 2,309 2,298 3,754 1,981 1,773 55-59 4,998 2,452 2,546 5,461 2,798 2,663 5,325 2,650 2,675 60-64 4,604 2,268 2,336 5,435 2,657 2,778 6,158 3,142 3,016 65-69 3,722 1,804 1,918 4,327 2,115 2,212 5,469 2,644 2,825 70-74 2,842 1,437 1,405 3,243 1,557 1,686 4,027 1,948 2,079 75-79 2,006 1,037 969 2,401 1,169 1,232 2,817 1,297 1,520 80-84 1,424 673 751 1,581 779 802 1,925 896 1,029 85+ 1,118 444 674 1,461 597 864 1,726 729 997
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 71,929 36,669 35,260 76,401 38,819 37,582 80,784 40,952 39,832 0-4 3,793 1,935 1,858 4,074 2,078 1,996 4,345 2,220 2,125 5-9 3,875 1,980 1,895 4,189 2,137 2,052 4,501 2,299 2,202 10-14 3,898 1,994 1,904 4,230 2,162 2,068 4,585 2,343 2,242 15-19 4,237 2,304 1,933 4,467 2,384 2,083 4,842 2,577 2,265 20-24 3,846 2,220 1,626 4,108 2,368 1,740 4,342 2,450 1,892 25-29 3,948 2,219 1,729 4,091 2,310 1,781 4,351 2,452 1,899 30-34 4,037 2,198 1,839 4,417 2,394 2,023 4,572 2,501 2,071 35-39 3,667 1,846 1,821 4,177 2,140 2,037 4,622 2,384 2,238 40-44 3,815 1,866 1,949 3,798 1,858 1,940 4,335 2,157 2,178 45-49 3,443 1,787 1,656 3,997 1,949 2,048 3,984 1,943 2,041 50-54 3,809 1,977 1,832 3,655 1,890 1,765 4,248 2,063 2,185 55-59 4,380 2,295 2,085 4,449 2,288 2,161 4,272 2,201 2,071 60-64 6,015 2,970 3,045 4,952 2,573 2,379 5,038 2,571 2,467 65-69 6,196 3,146 3,050 6,089 2,979 3,110 5,007 2,588 2,419 70-74 5,132 2,452 2,680 5,835 2,938 2,897 5,721 2,763 2,958 75-79 3,525 1,651 1,874 4,551 2,124 2,427 5,163 2,533 2,630 80-84 2,226 968 1,258 2,799 1,254 1,545 3,691 1,653 2,038 85+ 2,087 861 1,226 2,523 993 1,530 3,165 1,254 1,911
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 84,919 42,959 41,960 2010-15 2,504 3,229 2,990 2,265 0-4 4,630 2,370 2,260 2015-20 4,342 3,393 3,544 4,493 5-9 4,769 2,436 2,333 2020-25 4,384 3,636 4,063 4,811 10-14 4,902 2,504 2,398 2025-30 4,472 3,895 4,582 5,159 15-19 5,181 2,752 2,429 2030-35 4,383 4,167 5,116 5,332 20-24 4,685 2,632 2,053 2035-40 4,135 4,450 5,625 5,310 25-29 4,592 2,535 2,057 30-34 4,844 2,649 2,195 35-39 4,771 2,499 2,272 40-44 4,810 2,420 2,390 45-49 4,529 2,260 2,269 50-54 4,216 2,054 2,162 55-59 4,968 2,399 2,569 60-64 4,850 2,471 2,379 65-69 5,115 2,587 2,528 70-74 4,701 2,408 2,293 75-79 5,061 2,369 2,692 80-84 4,176 1,973 2,203 85+ 4,119 1,641 2,478
60
OFFICE OF FINANCIAL MANAGEMENT
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
90,000
100,000
110,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Mason County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
61
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Okanogan Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 41,120 20,750 20,370 42,230 21,291 20,939 43,163 21,704 21,459 0-4 2,805 1,443 1,362 2,917 1,495 1,422 3,032 1,555 1,477 5-9 2,531 1,295 1,236 2,819 1,459 1,360 2,932 1,500 1,432 10-14 2,616 1,384 1,232 2,523 1,297 1,226 2,782 1,433 1,349 15-19 2,673 1,373 1,300 2,354 1,244 1,110 2,244 1,152 1,092 20-24 2,022 1,060 962 2,226 1,116 1,110 1,915 991 924 25-29 2,156 1,101 1,055 2,367 1,238 1,129 2,604 1,305 1,299 30-34 2,146 1,105 1,041 2,150 1,106 1,044 2,329 1,232 1,097 35-39 2,260 1,129 1,131 2,067 1,057 1,010 2,076 1,071 1,005 40-44 2,295 1,162 1,133 2,276 1,140 1,136 2,009 1,030 979 45-49 2,752 1,342 1,410 2,278 1,149 1,129 2,231 1,108 1,123 50-54 3,247 1,573 1,674 2,812 1,368 1,444 2,254 1,130 1,124 55-59 3,353 1,669 1,684 3,307 1,584 1,723 2,855 1,375 1,480 60-64 3,194 1,636 1,558 3,373 1,670 1,703 3,364 1,594 1,770 65-69 2,410 1,271 1,139 3,096 1,606 1,490 3,371 1,684 1,687 70-74 1,774 932 842 2,189 1,149 1,040 2,928 1,513 1,415 75-79 1,261 622 639 1,530 785 745 1,910 986 924 80-84 842 366 476 1,017 484 533 1,225 607 618 85+ 783 287 496 929 344 585 1,102 438 664
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 43,978 22,056 21,922 44,619 22,300 22,319 45,127 22,491 22,636 0-4 3,064 1,572 1,492 3,089 1,586 1,503 3,183 1,636 1,547 5-9 3,060 1,574 1,486 3,105 1,587 1,518 3,160 1,621 1,539 10-14 2,926 1,499 1,427 3,069 1,574 1,495 3,141 1,609 1,532 15-19 2,481 1,281 1,200 2,638 1,354 1,284 2,789 1,427 1,362 20-24 1,841 912 929 2,072 1,044 1,028 2,226 1,114 1,112 25-29 2,247 1,162 1,085 2,159 1,079 1,080 2,415 1,219 1,196 30-34 2,623 1,331 1,292 2,286 1,191 1,095 2,207 1,108 1,099 35-39 2,278 1,201 1,077 2,602 1,325 1,277 2,275 1,185 1,090 40-44 2,031 1,048 983 2,242 1,190 1,052 2,564 1,302 1,262 45-49 1,989 1,018 971 2,022 1,033 989 2,228 1,179 1,049 50-54 2,236 1,106 1,130 1,999 1,017 982 2,040 1,041 999 55-59 2,311 1,151 1,160 2,296 1,130 1,166 2,045 1,042 1,003 60-64 2,906 1,389 1,517 2,373 1,173 1,200 2,363 1,145 1,218 65-69 3,394 1,625 1,769 2,938 1,423 1,515 2,413 1,211 1,202 70-74 3,194 1,589 1,605 3,233 1,538 1,695 2,803 1,351 1,452 75-79 2,561 1,292 1,269 2,807 1,350 1,457 2,838 1,307 1,531 80-84 1,509 746 763 2,038 992 1,046 2,233 1,033 1,200 85+ 1,327 560 767 1,651 714 937 2,204 961 1,243
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 45,707 22,766 22,941 2010-15 1,110 2,936 1,944 118 0-4 3,324 1,699 1,625 2015-20 933 3,026 2,307 214 5-9 3,254 1,670 1,584 2020-25 815 3,041 2,621 395 10-14 3,199 1,638 1,561 2025-30 641 3,068 2,918 491 15-19 2,868 1,472 1,396 2030-35 508 3,155 3,208 561 20-24 2,380 1,194 1,186 2035-40 580 3,306 3,374 648 25-29 2,563 1,284 1,279 30-34 2,479 1,256 1,223 35-39 2,210 1,114 1,096 40-44 2,271 1,186 1,085 45-49 2,569 1,305 1,264 50-54 2,259 1,189 1,070 55-59 2,101 1,068 1,033 60-64 2,133 1,075 1,058 65-69 2,423 1,195 1,228 70-74 2,301 1,148 1,153 75-79 2,460 1,149 1,311 80-84 2,271 1,006 1,265 85+ 2,642 1,118 1,524
62
OFFICE OF FINANCIAL MANAGEMENT
20,000
25,000
30,000
35,000
40,000
45,000
50,000
55,000
60,000
65,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Okanogan County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
63
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Pacific Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 20,920 10,488 10,432 20,860 10,398 10,462 20,990 10,432 10,558 0-4 995 535 460 940 483 457 984 506 478 5-9 978 499 479 1,003 537 466 975 502 473 10-14 1,016 506 510 988 496 492 1,031 555 476 15-19 1,172 668 504 929 460 469 896 460 436 20-24 889 470 419 972 546 426 775 375 400 25-29 904 467 437 1,048 554 494 1,145 636 509 30-34 914 492 422 907 477 430 1,089 580 509 35-39 897 440 457 891 480 411 912 471 441 40-44 1,091 555 536 911 446 465 896 479 417 45-49 1,330 666 664 1,079 551 528 888 435 453 50-54 1,620 792 828 1,364 681 683 1,084 540 544 55-59 1,988 962 1,026 1,844 892 952 1,579 782 797 60-64 1,943 945 998 2,158 1,042 1,116 2,057 994 1,063 65-69 1,725 853 872 1,798 863 935 2,108 1,008 1,100 70-74 1,289 649 640 1,501 739 762 1,632 776 856 75-79 921 449 472 1,096 531 565 1,277 605 672 80-84 653 320 333 722 325 397 857 406 451 85+ 595 220 375 709 295 414 805 322 483
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 21,261 10,541 10,720 21,495 10,636 10,859 21,736 10,759 10,977 0-4 997 513 484 1,027 523 504 1,041 530 511 5-9 1,034 531 503 1,076 548 528 1,108 566 542 10-14 1,018 519 499 1,088 557 531 1,158 593 565 15-19 992 534 458 989 508 481 1,081 556 525 20-24 785 391 394 861 452 409 883 442 441 25-29 907 442 465 905 450 455 992 523 469 30-34 1,265 707 558 1,024 499 525 1,030 518 512 35-39 1,138 607 531 1,352 761 591 1,095 530 565 40-44 933 481 452 1,181 633 548 1,409 797 612 45-49 902 478 424 973 508 465 1,215 641 574 50-54 934 455 479 946 508 438 993 514 479 55-59 1,269 631 638 1,089 527 562 1,106 593 513 60-64 1,746 866 880 1,432 715 717 1,236 595 641 65-69 2,022 968 1,054 1,738 853 885 1,444 712 732 70-74 1,952 931 1,021 1,872 880 992 1,628 786 842 75-79 1,411 652 759 1,708 791 917 1,620 739 881 80-84 1,014 457 557 1,107 479 628 1,376 614 762 85+ 942 378 564 1,127 444 683 1,321 510 811
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 22,042 10,944 11,098 2010-15 -60 935 1,342 347 0-4 1,082 551 531 2015-20 130 961 1,522 691 5-9 1,134 582 552 2020-25 271 963 1,667 975 10-14 1,195 609 586 2025-30 234 973 1,796 1,057 15-19 1,130 584 546 2030-35 241 996 1,892 1,137 20-24 973 485 488 2035-40 306 1,037 1,952 1,221 25-29 1,011 502 509 30-34 1,142 606 536 35-39 1,119 560 559 40-44 1,147 556 591 45-49 1,467 826 641 50-54 1,274 670 604 55-59 1,196 620 576 60-64 1,258 665 593 65-69 1,253 603 650 70-74 1,336 658 678 75-79 1,413 662 751 80-84 1,298 566 732 85+ 1,614 639 975
64
OFFICE OF FINANCIAL MANAGEMENT
10,000
12,000
14,000
16,000
18,000
20,000
22,000
24,000
26,000
28,000
30,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Pacific County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
65
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Pend Oreille Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 13,001 6,593 6,408 13,289 6,648 6,641 13,692 6,742 6,950 0-4 698 341 357 671 348 323 746 385 361 5-9 696 386 310 718 349 369 705 362 343 10-14 868 460 408 723 405 318 727 354 373 15-19 791 409 382 809 427 382 664 363 301 20-24 488 243 245 662 333 329 687 352 335 25-29 511 251 260 588 293 295 803 406 397 30-34 533 263 270 522 264 258 613 311 302 35-39 644 327 317 535 261 274 528 263 265 40-44 730 369 361 655 330 325 533 262 271 45-49 994 490 504 739 369 370 675 340 335 50-54 1,143 561 582 1,037 498 539 754 370 384 55-59 1,244 655 589 1,190 566 624 1,072 506 566 60-64 1,176 612 564 1,271 645 626 1,241 563 678 65-69 933 463 470 1,148 586 562 1,287 642 645 70-74 608 333 275 858 413 445 1,094 545 549 75-79 424 212 212 520 280 240 769 353 416 80-84 263 128 135 342 158 184 428 216 212 85+ 257 90 167 301 123 178 366 149 217
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 13,977 6,772 7,205 14,129 6,764 7,365 14,149 6,710 7,439 0-4 794 412 382 800 409 391 798 407 391 5-9 771 391 380 827 422 405 832 424 408 10-14 724 367 357 806 411 395 863 441 422 15-19 689 335 354 665 338 327 742 381 361 20-24 558 302 256 592 284 308 582 289 293 25-29 789 410 379 654 352 302 670 319 351 30-34 831 424 407 842 433 409 693 371 322 35-39 614 308 306 847 432 415 860 449 411 40-44 535 261 274 605 308 297 869 444 425 45-49 534 257 277 556 275 281 629 315 314 50-54 700 347 353 560 268 292 563 270 293 55-59 776 367 409 714 337 377 573 260 313 60-64 1,129 512 617 815 369 446 755 344 411 65-69 1,264 559 705 1,144 501 643 833 364 469 70-74 1,246 601 645 1,206 509 697 1,101 471 630 75-79 966 464 502 1,098 509 589 1,073 436 637 80-84 608 261 347 762 353 409 879 389 490 85+ 449 194 255 636 254 382 834 336 498
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 14,116 6,655 7,461 2010-15 288 674 666 280 0-4 804 414 390 2015-20 403 740 804 467 5-9 826 425 401 2020-25 285 779 935 441 10-14 858 435 423 2025-30 152 780 1,065 437 15-19 795 402 393 2030-35 20 779 1,187 428 20-24 660 328 332 2035-40 -33 791 1,242 418 25-29 678 334 344 30-34 722 345 377 35-39 716 388 328 40-44 872 456 416 45-49 871 443 428 50-54 647 314 333 55-59 586 273 313 60-64 608 266 342 65-69 783 354 429 70-74 815 351 464 75-79 983 397 586 80-84 854 320 534 85+ 1,038 410 628
66
OFFICE OF FINANCIAL MANAGEMENT
5,000
7,500
10,000
12,500
15,000
17,500
20,000
22,500
25,000
27,500
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Pend Oreille County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
67
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Pierce Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 795,225 392,934 402,291 831,944 411,371 420,573 876,565 433,313 443,252 0-4 55,663 28,414 27,249 57,010 29,154 27,856 59,986 30,687 29,299 5-9 53,579 27,330 26,249 56,258 28,727 27,531 58,641 29,984 28,657 10-14 54,838 28,039 26,799 55,485 28,309 27,176 58,715 29,980 28,735 15-19 56,289 28,898 27,391 53,260 27,585 25,675 53,921 27,874 26,047 20-24 56,203 28,636 27,567 56,410 28,879 27,531 53,064 27,251 25,813 25-29 58,327 28,877 29,450 59,870 30,365 29,505 59,672 30,412 29,260 30-34 53,723 26,607 27,116 59,870 29,359 30,511 62,269 31,282 30,987 35-39 52,825 26,405 26,420 53,689 26,598 27,091 61,602 30,240 31,362 40-44 55,602 27,611 27,991 54,960 27,259 27,701 54,694 26,855 27,839 45-49 59,711 29,941 29,770 56,044 27,722 28,322 55,724 27,587 28,137 50-54 59,232 29,334 29,898 60,665 30,296 30,369 56,176 27,695 28,481 55-59 50,100 24,254 25,846 57,658 28,281 29,377 59,347 29,433 29,914 60-64 41,348 20,146 21,202 47,034 22,514 24,520 55,607 26,976 28,631 65-69 28,956 13,772 15,184 37,419 17,952 19,467 44,845 21,088 23,757 70-74 19,951 9,206 10,745 25,202 11,738 13,464 34,524 16,198 18,326 75-79 15,812 7,004 8,808 16,463 7,288 9,175 21,690 9,762 11,928 80-84 11,885 4,768 7,117 12,070 5,060 7,010 12,649 5,291 7,358 85+ 11,181 3,692 7,489 12,577 4,285 8,292 13,439 4,718 8,721
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 923,912 456,518 467,394 967,601 477,861 489,740 1,006,614 496,845 509,769 0-4 60,447 30,920 29,527 60,920 31,163 29,757 62,269 31,847 30,422 5-9 61,963 31,690 30,273 62,427 31,926 30,501 62,852 32,137 30,715 10-14 61,570 31,481 30,089 65,037 33,261 31,776 65,434 33,462 31,972 15-19 57,488 29,733 27,755 60,311 31,231 29,080 63,731 32,997 30,734 20-24 53,918 27,645 26,273 57,346 29,428 27,918 60,020 30,825 29,195 25-29 55,950 28,618 27,332 56,992 29,105 27,887 60,555 30,938 29,617 30-34 62,447 31,464 30,983 58,603 29,657 28,946 59,720 30,193 29,527 35-39 64,460 32,430 32,030 64,672 32,647 32,025 60,635 30,752 29,883 40-44 63,158 30,749 32,409 66,029 32,972 33,057 66,246 33,170 33,076 45-49 55,764 27,340 28,424 64,402 31,301 33,101 67,199 33,516 33,683 50-54 56,128 27,702 28,426 56,215 27,485 28,730 64,931 31,480 33,451 55-59 55,328 27,108 28,220 55,462 27,273 28,189 55,726 27,208 28,518 60-64 57,604 28,298 29,306 53,772 26,020 27,752 53,822 26,089 27,733 65-69 53,519 25,608 27,911 55,485 26,892 28,593 51,928 24,783 27,145 70-74 41,744 19,230 22,514 50,078 23,541 26,537 51,905 24,715 27,190 75-79 30,169 13,750 16,419 36,586 16,350 20,236 44,202 20,241 23,961 80-84 17,313 7,444 9,869 24,202 10,564 13,638 29,459 12,575 16,884 85+ 14,942 5,308 9,634 19,062 7,045 12,017 25,980 9,917 16,063
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 1,042,341 514,330 528,011 2010-15 36,719 56,607 29,938 10,050 0-4 64,500 32,975 31,525 2015-20 44,621 59,068 32,741 18,294 5-9 64,200 32,816 31,384 2020-25 47,347 59,243 34,247 22,351 10-14 65,824 33,654 32,170 2025-30 43,689 59,731 39,064 23,022 15-19 64,107 33,199 30,908 2030-35 39,013 61,215 44,841 22,639 20-24 63,504 32,614 30,890 2035-40 35,727 63,554 50,327 22,500 25-29 63,306 32,369 30,937 30-34 63,468 32,120 31,348 35-39 61,791 31,295 30,496 40-44 62,117 31,236 30,881 45-49 67,503 33,751 33,752 50-54 67,649 33,655 33,994 55-59 64,468 31,239 33,229 60-64 54,097 26,012 28,085 65-69 52,026 24,886 27,140 70-74 48,719 22,814 25,905 75-79 45,742 21,199 24,543 80-84 35,937 15,816 20,121 85+ 33,383 12,680 20,703
68
OFFICE OF FINANCIAL MANAGEMENT
250,000
375,000
500,000
625,000
750,000
875,000
1,000,000
1,125,000
1,250,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Pierce County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
69
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
San Juan Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 15,769 7,665 8,104 15,907 7,699 8,208 16,256 7,812 8,444 0-4 539 258 281 486 252 234 543 281 262 5-9 647 322 325 572 271 301 534 275 259 10-14 776 379 397 674 334 340 627 302 325 15-19 746 376 370 741 361 380 669 333 336 20-24 511 265 246 653 323 330 663 322 341 25-29 589 270 319 614 315 299 768 370 398 30-34 668 338 330 642 302 340 697 361 336 35-39 730 379 351 672 338 334 689 321 368 40-44 841 397 444 777 406 371 716 358 358 45-49 1,124 543 581 859 407 452 816 423 393 50-54 1,398 642 756 1,184 573 611 892 421 471 55-59 1,707 815 892 1,533 693 840 1,303 621 682 60-64 1,836 873 963 1,807 862 945 1,655 745 910 65-69 1,382 712 670 1,742 820 922 1,785 847 938 70-74 892 453 439 1,245 637 608 1,642 755 887 75-79 558 288 270 781 386 395 1,096 548 548 80-84 373 184 189 451 225 226 634 302 332 85+ 452 171 281 474 194 280 527 227 300
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 16,606 7,917 8,689 16,939 8,035 8,904 17,216 8,153 9,063 0-4 600 311 289 632 322 310 642 328 314 5-9 619 320 299 676 346 330 710 363 347 10-14 601 308 293 686 359 327 758 387 371 15-19 623 294 329 602 310 292 693 353 340 20-24 614 294 320 587 276 311 577 288 289 25-29 767 360 407 717 340 377 664 308 356 30-34 926 461 465 944 447 497 880 432 448 35-39 761 400 361 1,048 523 525 1,078 515 563 40-44 746 349 397 846 439 407 1,150 573 577 45-49 763 383 380 794 368 426 896 468 428 50-54 856 444 412 820 411 409 857 392 465 55-59 999 463 536 958 490 468 929 459 470 60-64 1,412 667 745 1,109 517 592 1,071 553 518 65-69 1,665 742 923 1,428 666 762 1,121 515 606 70-74 1,686 780 906 1,561 677 884 1,370 635 735 75-79 1,438 645 793 1,478 663 815 1,403 591 812 80-84 875 419 456 1,149 492 657 1,198 513 685 85+ 655 277 378 904 389 515 1,219 480 739
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 17,443 8,279 9,164 2010-15 138 484 788 442 0-4 641 324 317 2015-20 349 526 1,013 836 5-9 714 363 351 2020-25 350 565 1,255 1,040 10-14 786 402 384 2025-30 333 591 1,410 1,152 15-19 778 398 380 2030-35 277 596 1,555 1,236 20-24 663 332 331 2035-40 227 588 1,619 1,258 25-29 670 335 335 30-34 810 380 430 35-39 995 490 505 40-44 1,176 557 619 45-49 1,238 615 623 50-54 964 497 467 55-59 951 427 524 60-64 1,044 524 520 65-69 1,099 567 532 70-74 1,093 495 598 75-79 1,221 555 666 80-84 1,136 453 683 85+ 1,464 565 899
70
OFFICE OF FINANCIAL MANAGEMENT
0
5,000
10,000
15,000
20,000
25,000
30,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
San Juan County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
71
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Skagit Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 116,901 57,980 58,921 121,624 60,232 61,392 128,249 63,408 64,841 0-4 7,597 3,847 3,750 7,734 3,958 3,776 8,182 4,187 3,995 5-9 7,414 3,732 3,682 7,761 3,931 3,830 8,097 4,141 3,956 10-14 7,696 3,919 3,777 7,555 3,807 3,748 8,019 4,064 3,955 15-19 8,052 4,171 3,881 7,626 3,892 3,734 7,544 3,814 3,730 20-24 6,580 3,387 3,193 6,681 3,376 3,305 6,331 3,140 3,191 25-29 7,320 3,771 3,549 7,619 3,923 3,696 7,733 3,901 3,832 30-34 6,784 3,451 3,333 7,474 3,891 3,583 8,009 4,160 3,849 35-39 6,804 3,389 3,415 6,621 3,374 3,247 7,580 3,954 3,626 40-44 7,024 3,609 3,415 6,890 3,422 3,468 6,594 3,352 3,242 45-49 7,940 3,978 3,962 7,093 3,610 3,483 7,034 3,476 3,558 50-54 8,571 4,153 4,418 8,283 4,118 4,165 7,306 3,698 3,608 55-59 8,504 4,148 4,356 8,933 4,243 4,690 8,674 4,243 4,431 60-64 7,739 3,728 4,011 8,806 4,226 4,580 9,464 4,407 5,057 65-69 5,972 2,925 3,047 7,677 3,732 3,945 9,165 4,417 4,748 70-74 4,287 2,093 2,194 5,518 2,677 2,841 7,457 3,583 3,874 75-79 3,271 1,524 1,747 3,730 1,769 1,961 4,909 2,326 2,583 80-84 2,656 1,196 1,460 2,603 1,142 1,461 2,986 1,355 1,631 85+ 2,690 959 1,731 3,020 1,141 1,879 3,165 1,190 1,975
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 136,410 67,345 69,065 144,953 71,457 73,496 153,632 75,640 77,992 0-4 8,528 4,364 4,164 8,881 4,543 4,338 9,335 4,773 4,562 5-9 8,719 4,463 4,256 9,139 4,675 4,464 9,573 4,894 4,679 10-14 8,529 4,366 4,163 9,257 4,740 4,517 9,771 5,002 4,769 15-19 8,163 4,156 4,007 8,774 4,509 4,265 9,576 4,926 4,650 20-24 6,419 3,162 3,257 7,080 3,521 3,559 7,661 3,851 3,810 25-29 7,287 3,596 3,691 7,373 3,607 3,766 8,066 3,979 4,087 30-34 8,447 4,311 4,136 8,078 4,042 4,036 8,275 4,094 4,181 35-39 8,310 4,328 3,982 8,908 4,557 4,351 8,605 4,312 4,293 40-44 7,715 4,014 3,701 8,520 4,433 4,087 9,193 4,706 4,487 45-49 6,836 3,451 3,385 8,043 4,154 3,889 8,927 4,607 4,320 50-54 7,330 3,591 3,739 7,175 3,598 3,577 8,464 4,352 4,112 55-59 7,741 3,851 3,890 7,819 3,780 4,039 7,704 3,816 3,888 60-64 9,279 4,464 4,815 8,331 4,064 4,267 8,457 3,990 4,467 65-69 9,948 4,656 5,292 9,810 4,742 5,068 8,863 4,351 4,512 70-74 8,971 4,289 4,682 9,782 4,526 5,256 9,713 4,667 5,046 75-79 6,691 3,131 3,560 8,123 3,784 4,339 8,871 3,990 4,881 80-84 3,957 1,789 2,168 5,432 2,437 2,995 6,633 2,970 3,663 85+ 3,540 1,363 2,177 4,428 1,745 2,683 5,945 2,360 3,585
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 162,738 80,094 82,644 2010-15 4,723 7,720 5,455 2,458 0-4 9,947 5,087 4,860 2015-20 6,625 8,071 6,256 4,810 5-9 10,099 5,167 4,932 2020-25 8,161 8,306 7,034 6,889 10-14 10,296 5,274 5,022 2025-30 8,543 8,621 8,006 7,928 15-19 10,158 5,215 4,943 2030-35 8,679 9,047 9,144 8,776 20-24 8,456 4,247 4,209 2035-40 9,106 9,640 10,163 9,629 25-29 8,716 4,341 4,375 30-34 9,111 4,550 4,561 35-39 8,845 4,396 4,449 40-44 8,919 4,467 4,452 45-49 9,668 4,909 4,759 50-54 9,430 4,842 4,588 55-59 9,143 4,650 4,493 60-64 8,344 4,050 4,294 65-69 9,034 4,290 4,744 70-74 8,827 4,303 4,524 75-79 8,846 4,151 4,695 80-84 7,275 3,124 4,151 85+ 7,624 3,031 4,593
72
OFFICE OF FINANCIAL MANAGEMENT
25,000
50,000
75,000
100,000
125,000
150,000
175,000
200,000
225,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Skagit County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
73
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Skamania Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 11,066 5,565 5,501 11,282 5,668 5,614 11,548 5,797 5,751 0-4 604 301 303 521 271 250 549 282 267 5-9 648 326 322 631 317 314 539 275 264 10-14 730 367 363 663 335 328 663 332 331 15-19 717 378 339 675 340 335 637 323 314 20-24 451 235 216 619 317 302 592 285 307 25-29 501 242 259 535 283 252 721 372 349 30-34 639 330 309 529 257 272 564 299 265 35-39 674 316 358 649 332 317 536 259 277 40-44 710 351 359 704 328 376 653 337 316 45-49 943 487 456 702 341 361 705 330 375 50-54 1,013 486 527 976 502 474 702 345 357 55-59 1,028 533 495 1,059 511 548 1,000 526 474 60-64 812 427 385 1,029 541 488 1,075 526 549 65-69 617 312 305 741 391 350 985 520 465 70-74 364 185 179 536 271 265 668 342 326 75-79 276 138 138 295 146 149 475 235 240 80-84 188 89 99 219 106 113 247 114 133 85+ 151 62 89 199 79 120 237 95 142
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 12,014 6,020 5,994 12,447 6,219 6,228 12,816 6,386 6,430 0-4 612 313 299 621 318 303 655 335 320 5-9 609 314 295 649 334 315 679 346 333 10-14 567 292 275 639 326 313 698 357 341 15-19 636 313 323 576 293 283 640 331 309 20-24 547 264 283 576 282 294 501 247 254 25-29 680 332 348 642 314 328 656 319 337 30-34 827 435 392 791 391 400 727 361 366 35-39 600 318 282 880 462 418 851 422 429 40-44 556 268 288 628 330 298 931 486 445 45-49 678 346 332 584 283 301 649 341 308 50-54 720 340 380 680 355 325 604 291 313 55-59 746 373 373 772 368 404 731 388 343 60-64 1,053 559 494 793 396 397 809 381 428 65-69 1,035 500 535 1,023 532 491 752 375 377 70-74 915 470 445 957 452 505 943 491 452 75-79 580 293 287 805 406 399 839 383 456 80-84 383 174 209 458 220 238 655 321 334 85+ 270 116 154 373 157 216 496 211 285
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 13,082 6,506 6,576 2010-15 216 513 453 156 0-4 646 331 315 2015-20 266 552 551 265 5-9 697 356 341 2020-25 466 588 634 512 10-14 744 381 363 2025-30 433 615 733 551 15-19 705 364 341 2030-35 369 616 835 588 20-24 560 281 279 2035-40 266 610 923 579 25-29 580 284 296 30-34 742 366 376 35-39 796 397 399 40-44 876 430 446 45-49 971 511 460 50-54 684 360 324 55-59 653 322 331 60-64 764 403 361 65-69 777 369 408 70-74 707 343 364 75-79 830 426 404 80-84 660 284 376 85+ 690 298 392
74
OFFICE OF FINANCIAL MANAGEMENT
5,000
7,000
9,000
11,000
13,000
15,000
17,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Skamania County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
75
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Snohomish Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 713,335 356,958 356,377 750,358 375,766 374,592 805,015 403,118 401,897 0-4 47,378 24,247 23,131 47,801 24,449 23,352 51,786 26,501 25,285 5-9 47,064 24,022 23,042 49,649 25,416 24,233 51,717 26,454 25,263 10-14 48,705 24,879 23,826 49,383 25,213 24,170 53,340 27,315 26,025 15-19 49,561 25,653 23,908 46,939 24,262 22,677 48,542 25,098 23,444 20-24 44,412 23,256 21,156 45,360 23,855 21,505 43,368 22,707 20,661 25-29 49,844 25,524 24,320 50,692 26,067 24,625 51,851 26,691 25,160 30-34 49,359 25,233 24,126 53,279 27,036 26,243 56,408 28,711 27,697 35-39 50,660 25,735 24,925 50,234 25,416 24,818 56,864 28,612 28,252 40-44 53,814 27,436 26,378 53,459 27,165 26,294 52,622 26,605 26,017 45-49 58,168 29,280 28,888 54,521 27,700 26,821 55,105 27,957 27,148 50-54 56,243 28,308 27,935 59,360 29,785 29,575 55,387 28,079 27,308 55-59 47,545 23,509 24,036 54,874 27,427 27,447 58,655 29,299 29,356 60-64 37,038 17,914 19,124 44,604 21,882 22,722 53,198 26,357 26,841 65-69 24,442 11,726 12,716 33,549 16,027 17,522 42,844 20,755 22,089 70-74 16,577 7,561 9,016 21,330 10,042 11,288 31,201 14,594 16,607 75-79 12,712 5,504 7,208 14,015 6,150 7,865 18,749 8,559 10,190 80-84 9,605 3,736 5,869 10,106 4,147 5,959 11,209 4,668 6,541 85+ 10,208 3,435 6,773 11,203 3,727 7,476 12,169 4,156 8,013
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 857,939 429,331 428,608 908,807 454,272 454,535 955,281 476,873 478,408 0-4 53,212 27,226 25,986 54,183 27,725 26,458 55,933 28,623 27,310 5-9 55,868 28,589 27,279 57,475 29,411 28,064 58,424 29,894 28,530 10-14 55,414 28,355 27,059 59,898 30,654 29,244 61,495 31,474 30,021 15-19 52,382 27,163 25,219 54,532 28,249 26,283 58,874 30,489 28,385 20-24 44,829 23,444 21,385 48,599 25,451 23,148 50,521 26,417 24,104 25-29 49,511 25,365 24,146 51,103 26,187 24,916 55,096 28,289 26,807 30-34 57,653 29,355 28,298 55,189 27,971 27,218 56,816 28,825 27,991 35-39 59,946 30,288 29,658 61,457 31,047 30,410 58,759 29,533 29,226 40-44 59,431 29,891 29,540 62,620 31,633 30,987 64,242 32,451 31,791 45-49 54,161 27,349 26,812 61,210 30,739 30,471 64,352 32,467 31,885 50-54 55,911 28,307 27,604 55,010 27,724 27,286 62,178 31,170 31,008 55-59 54,797 27,662 27,135 55,521 28,054 27,467 54,778 27,612 27,166 60-64 56,993 28,229 28,764 53,282 26,623 26,659 53,893 26,883 27,010 65-69 51,207 25,070 26,137 54,986 26,925 28,061 51,485 25,437 26,048 70-74 39,960 18,992 20,968 47,918 23,037 24,881 51,515 24,766 26,749 75-79 27,685 12,564 15,121 35,571 16,455 19,116 42,766 20,005 22,761 80-84 15,241 6,662 8,579 22,733 9,873 12,860 29,309 13,036 16,273 85+ 13,738 4,820 8,918 17,520 6,514 11,006 24,845 9,502 15,343
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 997,634 497,408 500,226 2010-15 37,023 47,284 25,016 14,755 0-4 58,646 30,006 28,640 2015-20 54,657 50,468 28,339 32,528 5-9 60,179 30,786 29,393 2020-25 52,924 51,809 31,371 32,486 10-14 62,398 31,929 30,469 2025-30 50,868 52,759 36,417 34,526 15-19 60,343 31,245 29,098 2030-35 46,474 54,610 42,714 34,578 20-24 54,531 28,497 26,034 2035-40 42,353 57,381 49,125 34,097 25-29 57,156 29,320 27,836 30-34 60,977 31,038 29,939 35-39 60,342 30,376 29,966 40-44 61,338 30,826 30,512 45-49 66,050 33,332 32,718 50-54 65,226 32,850 32,376 55-59 61,962 31,093 30,869 60-64 53,150 26,434 26,716 65-69 52,092 25,687 26,405 70-74 48,290 23,443 24,847 75-79 46,050 21,533 24,517 80-84 35,396 15,901 19,495 85+ 33,508 13,112 20,396
76
OFFICE OF FINANCIAL MANAGEMENT
0
200,000
400,000
600,000
800,000
1,000,000
1,200,000
1,400,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Snohomish County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
77
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Spokane Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 471,221 232,696 238,525 489,491 242,749 246,742 513,910 255,016 258,894 0-4 30,241 15,499 14,742 30,387 15,547 14,840 32,206 16,486 15,720 5-9 29,752 15,307 14,445 31,553 16,178 15,375 32,284 16,519 15,765 10-14 30,441 15,640 14,801 31,060 15,983 15,077 33,192 17,031 16,161 15-19 34,817 17,496 17,321 33,137 16,960 16,177 33,663 17,283 16,380 20-24 38,015 18,981 19,034 36,913 18,818 18,095 34,887 17,973 16,914 25-29 33,376 17,156 16,220 34,978 17,612 17,366 35,243 17,553 17,690 30-34 28,921 14,680 14,241 32,248 16,597 15,651 34,309 17,232 17,077 35-39 28,317 14,440 13,877 29,561 15,001 14,560 33,855 17,457 16,398 40-44 29,426 14,744 14,682 29,751 15,181 14,570 30,381 15,412 14,969 45-49 33,652 16,583 17,069 29,713 14,834 14,879 30,207 15,396 14,811 50-54 34,173 16,855 17,318 34,344 16,856 17,488 29,859 14,869 14,990 55-59 32,241 15,681 16,560 33,493 16,361 17,132 33,812 16,473 17,339 60-64 26,880 13,137 13,743 30,742 14,832 15,910 32,710 15,821 16,889 65-69 18,719 8,947 9,772 24,906 12,026 12,880 29,937 14,234 15,703 70-74 13,446 6,275 7,171 16,777 7,913 8,864 23,604 11,226 12,378 75-79 10,790 4,748 6,042 11,415 5,152 6,263 14,681 6,716 7,965 80-84 8,645 3,414 5,231 8,476 3,540 4,936 8,909 3,824 5,085 85+ 9,369 3,113 6,256 10,037 3,358 6,679 10,171 3,511 6,660
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 537,428 266,685 270,743 558,614 277,118 281,496 576,763 286,038 290,725 0-4 32,787 16,783 16,004 32,971 16,876 16,095 33,469 17,132 16,337 5-9 34,175 17,495 16,680 34,758 17,791 16,967 34,866 17,844 17,022 10-14 33,938 17,375 16,563 35,857 18,355 17,502 36,404 18,637 17,767 15-19 35,697 18,286 17,411 36,504 18,660 17,844 38,542 19,695 18,847 20-24 35,274 18,203 17,071 37,167 19,136 18,031 37,992 19,533 18,459 25-29 33,215 16,804 16,411 33,757 17,128 16,629 35,733 18,086 17,647 30-34 34,080 16,867 17,213 32,105 16,217 15,888 32,712 16,582 16,130 35-39 35,917 18,071 17,846 35,745 17,736 18,009 33,619 17,010 16,609 40-44 34,747 17,908 16,839 36,766 18,487 18,279 36,629 18,171 18,458 45-49 30,826 15,624 15,202 35,218 18,126 17,092 37,172 18,669 18,503 50-54 30,358 15,429 14,929 30,965 15,644 15,321 35,352 18,147 17,205 55-59 29,430 14,547 14,883 30,010 15,183 14,827 30,701 15,478 15,223 60-64 33,097 15,984 17,113 28,784 14,079 14,705 29,324 14,657 14,667 65-69 31,843 15,196 16,647 32,296 15,398 16,898 28,097 13,575 14,522 70-74 28,406 13,303 15,103 30,205 14,210 15,995 30,745 14,467 16,278 75-79 20,901 9,712 11,189 25,145 11,482 13,663 26,733 12,270 14,463 80-84 11,770 5,159 6,611 16,902 7,552 9,350 20,344 8,908 11,436 85+ 10,967 3,939 7,028 13,459 5,058 8,401 18,329 7,177 11,152
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 592,969 294,118 298,851 2010-15 18,270 30,099 19,245 7,416 0-4 34,481 17,652 16,829 2015-20 24,419 31,643 21,605 14,381 5-9 35,374 18,105 17,269 2020-25 23,518 32,151 22,976 14,343 10-14 36,509 18,690 17,819 2025-30 21,186 32,324 25,785 14,647 15-19 39,181 20,022 19,159 2030-35 18,149 32,924 29,216 14,441 20-24 40,208 20,670 19,538 2035-40 16,206 34,010 32,268 14,464 25-29 36,397 18,391 18,006 30-34 34,847 17,613 17,234 35-39 34,234 17,377 16,857 40-44 34,455 17,430 17,025 45-49 37,077 18,374 18,703 50-54 37,265 18,658 18,607 55-59 35,086 17,987 17,099 60-64 30,008 14,928 15,080 65-69 28,710 14,193 14,517 70-74 26,759 12,762 13,997 75-79 27,360 12,576 14,784 80-84 21,621 9,530 12,091 85+ 23,397 9,160 14,237
78
OFFICE OF FINANCIAL MANAGEMENT
200,000
300,000
400,000
500,000
600,000
700,000
800,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Spokane County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
79
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Stevens Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 43,531 21,782 21,749 44,262 22,197 22,065 45,212 22,679 22,533 0-4 2,310 1,182 1,128 2,132 1,090 1,042 2,232 1,138 1,094 5-9 2,756 1,449 1,307 2,571 1,317 1,254 2,299 1,177 1,122 10-14 3,244 1,629 1,615 2,920 1,490 1,430 2,758 1,410 1,348 15-19 3,205 1,699 1,506 2,322 1,278 1,044 2,354 1,257 1,097 20-24 1,675 883 792 1,890 1,018 872 2,045 1,100 945 25-29 1,723 850 873 1,948 1,012 936 2,210 1,185 1,025 30-34 1,984 921 1,063 2,107 1,053 1,054 2,188 1,156 1,032 35-39 2,270 1,152 1,118 2,230 1,034 1,196 2,252 1,127 1,125 40-44 2,583 1,229 1,354 2,562 1,306 1,256 2,329 1,077 1,252 45-49 3,153 1,526 1,627 2,778 1,312 1,466 2,633 1,334 1,299 50-54 3,822 1,845 1,977 3,415 1,652 1,763 2,832 1,340 1,492 55-59 3,817 1,888 1,929 4,089 1,999 2,090 3,535 1,734 1,801 60-64 3,473 1,784 1,689 3,910 1,957 1,953 4,159 2,056 2,103 65-69 2,797 1,480 1,317 3,295 1,685 1,610 3,769 1,878 1,891 70-74 1,917 1,010 907 2,519 1,311 1,208 3,024 1,516 1,508 75-79 1,235 601 634 1,673 861 812 2,187 1,104 1,083 80-84 817 379 438 1,004 470 534 1,333 659 674 85+ 750 275 475 897 352 545 1,073 431 642
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 46,447 23,245 23,202 47,834 23,899 23,935 49,340 24,646 24,694 0-4 2,417 1,234 1,183 2,648 1,350 1,298 2,840 1,453 1,387 5-9 2,420 1,239 1,181 2,622 1,343 1,279 2,875 1,472 1,403 10-14 2,459 1,262 1,197 2,604 1,335 1,269 2,838 1,447 1,391 15-19 2,682 1,377 1,305 2,419 1,239 1,180 2,565 1,316 1,249 20-24 2,071 1,078 993 2,430 1,217 1,213 2,191 1,102 1,089 25-29 2,375 1,268 1,107 2,407 1,247 1,160 2,774 1,378 1,396 30-34 2,518 1,365 1,153 2,738 1,476 1,262 2,786 1,458 1,328 35-39 2,329 1,227 1,102 2,727 1,478 1,249 3,001 1,623 1,378 40-44 2,361 1,180 1,181 2,458 1,302 1,156 2,869 1,553 1,316 45-49 2,384 1,099 1,285 2,440 1,220 1,220 2,547 1,340 1,207 50-54 2,711 1,375 1,336 2,449 1,126 1,323 2,533 1,267 1,266 55-59 2,943 1,408 1,535 2,820 1,456 1,364 2,586 1,213 1,373 60-64 3,576 1,777 1,799 3,005 1,457 1,548 2,884 1,500 1,384 65-69 4,013 1,969 2,044 3,463 1,705 1,758 2,914 1,400 1,514 70-74 3,478 1,700 1,778 3,704 1,789 1,915 3,194 1,543 1,651 75-79 2,615 1,268 1,347 3,026 1,438 1,588 3,240 1,525 1,715 80-84 1,715 835 880 2,058 948 1,110 2,415 1,099 1,316 85+ 1,380 584 796 1,816 773 1,043 2,288 957 1,331
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 50,929 25,490 25,439 2010-15 731 2,038 2,006 699 0-4 2,956 1,514 1,442 2015-20 950 2,165 2,450 1,235 5-9 3,104 1,582 1,522 2020-25 1,235 2,320 2,823 1,738 10-14 3,131 1,602 1,529 2025-30 1,387 2,538 3,179 2,028 15-19 2,800 1,434 1,366 2030-35 1,506 2,728 3,483 2,261 20-24 2,333 1,173 1,160 2035-40 1,589 2,839 3,676 2,426 25-29 2,489 1,237 1,252 30-34 3,222 1,629 1,593 35-39 3,058 1,608 1,450 40-44 3,175 1,718 1,457 45-49 3,002 1,622 1,380 50-54 2,626 1,385 1,241 55-59 2,655 1,355 1,300 60-64 2,630 1,242 1,388 65-69 2,836 1,475 1,361 70-74 2,719 1,289 1,430 75-79 2,791 1,310 1,481 80-84 2,592 1,168 1,424 85+ 2,810 1,147 1,663
80
OFFICE OF FINANCIAL MANAGEMENT
10,000
20,000
30,000
40,000
50,000
60,000
70,000
80,000
90,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Stevens County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
81
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Thurston Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 252,264 122,952 129,312 266,224 129,932 136,292 288,265 140,805 147,460 0-4 15,381 7,922 7,459 15,654 8,010 7,644 16,728 8,555 8,173 5-9 15,629 8,037 7,592 16,398 8,452 7,946 17,373 8,884 8,489 10-14 16,559 8,587 7,972 16,716 8,597 8,119 18,135 9,343 8,792 15-19 17,216 8,881 8,335 17,313 8,970 8,343 17,953 9,250 8,703 20-24 16,325 8,101 8,224 16,069 8,170 7,899 16,409 8,357 8,052 25-29 17,406 8,602 8,804 17,494 8,611 8,883 16,983 8,558 8,425 30-34 16,609 8,202 8,407 19,383 9,695 9,688 20,617 10,270 10,347 35-39 16,276 7,986 8,290 17,440 8,583 8,857 21,604 10,789 10,815 40-44 16,731 8,315 8,416 17,449 8,538 8,911 18,741 9,188 9,553 45-49 18,108 8,785 9,323 17,245 8,540 8,705 18,427 9,000 9,427 50-54 18,935 8,946 9,989 18,762 9,077 9,685 17,901 8,846 9,055 55-59 18,485 8,572 9,913 18,714 8,770 9,944 18,886 9,084 9,802 60-64 15,840 7,534 8,306 17,647 8,107 9,540 18,537 8,597 9,940 65-69 11,012 5,213 5,799 14,568 6,842 7,726 17,280 7,820 9,460 70-74 7,272 3,405 3,867 9,741 4,526 5,215 13,751 6,333 7,418 75-79 5,557 2,562 2,995 6,179 2,780 3,399 8,633 3,888 4,745 80-84 4,376 1,786 2,590 4,406 1,934 2,472 4,960 2,119 2,841 85+ 4,547 1,516 3,031 5,046 1,730 3,316 5,347 1,924 3,423
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 307,930 150,459 157,471 326,426 159,614 166,812 343,019 167,961 175,058 0-4 17,193 8,789 8,404 17,554 8,969 8,585 18,173 9,282 8,891 5-9 18,359 9,387 8,972 18,854 9,633 9,221 19,176 9,797 9,379 10-14 18,987 9,710 9,277 20,006 10,226 9,780 20,457 10,453 10,004 15-19 19,172 9,893 9,279 20,013 10,249 9,764 21,011 10,761 10,250 20-24 16,856 8,537 8,319 18,040 9,159 8,881 18,755 9,455 9,300 25-29 17,444 8,816 8,628 17,975 9,036 8,939 19,213 9,684 9,529 30-34 19,714 10,057 9,657 20,217 10,355 9,862 20,658 10,511 10,147 35-39 22,597 11,238 11,359 21,608 11,016 10,592 22,060 11,282 10,778 40-44 22,970 11,435 11,535 23,929 11,867 12,062 22,825 11,599 11,226 45-49 19,607 9,595 10,012 23,978 11,915 12,063 24,870 12,315 12,555 50-54 18,979 9,242 9,737 20,182 9,853 10,329 24,623 12,209 12,414 55-59 17,952 8,818 9,134 19,005 9,190 9,815 20,117 9,729 10,388 60-64 18,674 8,895 9,779 17,813 8,692 9,121 18,902 9,110 9,792 65-69 18,073 8,265 9,808 18,233 8,581 9,652 17,420 8,414 9,006 70-74 16,244 7,182 9,062 16,985 7,608 9,377 17,171 7,949 9,222 75-79 12,171 5,424 6,747 14,407 6,160 8,247 15,066 6,560 8,506 80-84 6,990 3,003 3,987 9,894 4,219 5,675 11,745 4,783 6,962 85+ 5,948 2,173 3,775 7,733 2,886 4,847 10,777 4,068 6,709
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 358,031 175,673 182,358 2010-15 13,960 15,319 9,815 8,456 0-4 18,973 9,689 9,284 2015-20 22,041 16,053 11,040 17,028 5-9 19,771 10,097 9,674 2020-25 19,665 16,544 12,212 15,333 10-14 20,715 10,583 10,132 2025-30 18,496 16,902 13,961 15,555 15-19 21,417 10,963 10,454 2030-35 16,593 17,568 16,033 15,058 20-24 19,680 9,921 9,759 2035-40 15,012 18,399 17,889 14,502 25-29 19,946 9,985 9,961 30-34 21,890 11,158 10,732 35-39 22,418 11,390 11,028 40-44 23,241 11,854 11,387 45-49 23,678 12,019 11,659 50-54 25,415 12,554 12,861 55-59 24,495 12,027 12,468 60-64 20,024 9,668 10,356 65-69 18,459 8,797 9,662 70-74 16,447 7,821 8,626 75-79 15,310 6,912 8,398 80-84 12,305 5,138 7,167 85+ 13,847 5,097 8,750
82
OFFICE OF FINANCIAL MANAGEMENT
0
50,000
100,000
150,000
200,000
250,000
300,000
350,000
400,000
450,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Thurston County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
83
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Wahkiakum Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 3,978 1,999 1,979 3,931 1,941 1,990 3,877 1,901 1,976 0-4 159 73 86 134 73 61 141 73 68 5-9 191 99 92 170 78 92 139 75 64 10-14 233 113 120 216 114 102 178 78 100 15-19 209 124 85 180 90 90 193 101 92 20-24 113 63 50 100 51 49 143 73 70 25-29 147 83 64 110 58 52 120 61 59 30-34 156 77 79 125 63 62 115 56 59 35-39 168 78 90 169 77 92 131 64 67 40-44 216 112 104 199 93 106 164 81 83 45-49 274 142 132 228 117 111 198 92 106 50-54 291 142 149 278 143 135 230 117 113 55-59 382 191 191 297 141 156 292 149 143 60-64 424 199 225 423 210 213 326 152 174 65-69 378 200 178 433 204 229 420 212 208 70-74 264 132 132 373 198 175 430 202 228 75-79 163 86 77 241 116 125 321 166 155 80-84 105 52 53 135 67 68 204 96 108 85+ 105 33 72 120 48 72 132 53 79
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 3,830 1,860 1,970 3,772 1,822 1,950 3,716 1,787 1,929 0-4 149 79 70 173 90 83 178 90 88 5-9 145 72 73 167 85 82 186 97 89 10-14 152 77 75 159 82 77 174 91 83 15-19 158 72 86 144 75 69 146 76 70 20-24 156 77 79 139 64 75 134 67 67 25-29 177 94 83 180 93 87 160 70 90 30-34 133 68 65 182 94 88 202 102 100 35-39 126 65 61 139 71 68 200 104 96 40-44 129 64 65 121 61 60 146 78 68 45-49 165 78 87 134 63 71 134 67 67 50-54 200 89 111 169 81 88 145 68 77 55-59 256 128 128 201 88 113 184 88 96 60-64 322 166 156 269 135 134 218 88 130 65-69 331 154 177 348 176 172 272 137 135 70-74 409 205 204 325 149 176 340 171 169 75-79 357 157 200 354 176 178 284 127 157 80-84 260 133 127 293 122 171 282 134 148 85+ 205 82 123 275 117 158 331 132 199
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 3,669 1,761 1,908 2010-15 -47 140 250 63 0-4 181 91 90 2015-20 -54 140 307 113 5-9 179 92 87 2020-25 -47 152 362 163 10-14 195 101 94 2025-30 -58 166 408 184 15-19 171 86 85 2030-35 -56 169 428 203 20-24 140 71 69 2035-40 -47 171 429 211 25-29 145 72 73 30-34 180 80 100 35-39 228 120 108 40-44 212 112 100 45-49 151 79 72 50-54 146 73 73 55-59 159 74 85 60-64 196 91 105 65-69 228 93 135 70-74 264 130 134 75-79 308 153 155 80-84 221 91 130 85+ 365 152 213
84
OFFICE OF FINANCIAL MANAGEMENT
1,500
2,500
3,500
4,500
5,500
6,500
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Wahkiakum County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
85
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Walla Walla Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 58,781 29,835 28,946 60,015 30,498 29,517 61,685 31,478 30,207 0-4 3,513 1,807 1,706 3,508 1,791 1,717 3,777 1,930 1,847 5-9 3,613 1,812 1,801 3,630 1,867 1,763 3,655 1,868 1,787 10-14 3,764 1,875 1,889 3,728 1,872 1,856 3,730 1,914 1,816 15-19 4,887 2,464 2,423 4,789 2,330 2,459 4,791 2,338 2,453 20-24 5,223 2,852 2,371 5,618 3,059 2,559 5,621 2,983 2,638 25-29 3,831 2,200 1,631 4,240 2,490 1,750 4,553 2,716 1,837 30-34 3,483 1,907 1,576 3,701 2,019 1,682 4,084 2,310 1,774 35-39 3,294 1,761 1,533 3,366 1,774 1,592 3,623 1,912 1,711 40-44 3,460 1,815 1,645 3,475 1,882 1,593 3,458 1,860 1,598 45-49 3,809 1,983 1,826 3,312 1,654 1,658 3,314 1,728 1,586 50-54 4,052 2,012 2,040 3,709 1,855 1,854 3,136 1,491 1,645 55-59 3,795 1,903 1,892 3,923 1,934 1,989 3,573 1,782 1,791 60-64 3,279 1,644 1,635 3,531 1,756 1,775 3,713 1,810 1,903 65-69 2,412 1,197 1,215 2,953 1,460 1,493 3,306 1,623 1,683 70-74 1,736 791 945 2,099 1,027 1,072 2,685 1,299 1,386 75-79 1,586 695 891 1,456 633 823 1,832 871 961 80-84 1,429 547 882 1,247 514 733 1,138 464 674 85+ 1,615 570 1,045 1,730 581 1,149 1,696 579 1,117
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 63,368 32,329 31,039 64,978 33,116 31,862 66,378 33,801 32,577 0-4 3,930 2,007 1,923 3,992 2,046 1,946 4,005 2,054 1,951 5-9 3,954 2,016 1,938 4,112 2,101 2,011 4,176 2,134 2,042 10-14 3,794 1,935 1,859 4,098 2,088 2,010 4,247 2,171 2,076 15-19 4,823 2,404 2,419 4,905 2,431 2,474 5,256 2,611 2,645 20-24 5,526 2,942 2,584 5,546 2,999 2,547 5,644 3,041 2,603 25-29 4,346 2,505 1,841 4,282 2,474 1,808 4,293 2,518 1,775 30-34 4,364 2,466 1,898 4,179 2,265 1,914 4,097 2,229 1,868 35-39 4,038 2,210 1,828 4,293 2,343 1,950 4,084 2,135 1,949 40-44 3,729 1,997 1,732 4,120 2,281 1,839 4,405 2,433 1,972 45-49 3,298 1,693 1,605 3,564 1,828 1,736 3,945 2,098 1,847 50-54 3,161 1,573 1,588 3,140 1,541 1,599 3,384 1,670 1,714 55-59 3,027 1,432 1,595 3,072 1,526 1,546 3,058 1,508 1,550 60-64 3,405 1,683 1,722 2,892 1,348 1,544 2,916 1,428 1,488 65-69 3,498 1,686 1,812 3,219 1,573 1,646 2,736 1,260 1,476 70-74 3,039 1,460 1,579 3,208 1,508 1,700 2,943 1,405 1,538 75-79 2,344 1,098 1,246 2,652 1,232 1,420 2,807 1,278 1,529 80-84 1,456 664 792 1,879 846 1,033 2,134 959 1,175 85+ 1,636 558 1,078 1,825 686 1,139 2,248 869 1,379
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 67,655 34,436 33,219 2010-15 1,234 3,496 2,727 465 0-4 4,038 2,065 1,973 2015-20 1,670 3,757 2,916 829 5-9 4,173 2,127 2,046 2020-25 1,683 3,888 3,007 802 10-14 4,306 2,205 2,101 2025-30 1,610 3,957 3,159 812 15-19 5,429 2,692 2,737 2030-35 1,400 3,989 3,379 790 20-24 6,058 3,262 2,796 2035-40 1,277 4,045 3,560 792 25-29 4,341 2,545 1,796 30-34 4,112 2,290 1,822 35-39 4,030 2,118 1,912 40-44 4,198 2,222 1,976 45-49 4,196 2,230 1,966 50-54 3,768 1,942 1,826 55-59 3,306 1,630 1,676 60-64 2,909 1,403 1,506 65-69 2,762 1,345 1,417 70-74 2,506 1,123 1,383 75-79 2,567 1,192 1,375 80-84 2,279 994 1,285 85+ 2,677 1,051 1,626
86
OFFICE OF FINANCIAL MANAGEMENT
30,000
40,000
50,000
60,000
70,000
80,000
90,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Walla Walla County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
87
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Whatcom Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 201,140 99,635 101,505 210,050 104,108 105,942 225,307 111,704 113,603 0-4 11,337 5,859 5,478 11,662 5,968 5,694 12,826 6,569 6,257 5-9 11,265 5,810 5,455 11,865 6,134 5,731 12,815 6,563 6,252 10-14 12,059 6,122 5,937 11,800 6,090 5,710 12,948 6,703 6,245 15-19 15,905 7,882 8,023 15,158 7,460 7,698 15,263 7,637 7,626 20-24 20,277 10,211 10,066 21,511 10,500 11,011 20,734 10,007 10,727 25-29 14,019 7,262 6,757 14,461 7,583 6,878 14,690 7,307 7,383 30-34 12,150 6,180 5,970 13,128 6,914 6,214 14,490 7,737 6,753 35-39 11,676 5,858 5,818 12,481 6,350 6,131 14,420 7,617 6,803 40-44 12,319 6,123 6,196 12,306 6,180 6,126 13,290 6,762 6,528 45-49 13,532 6,694 6,838 12,475 6,180 6,295 12,867 6,461 6,406 50-54 13,797 6,766 7,031 13,850 6,826 7,024 12,890 6,364 6,526 55-59 13,828 6,599 7,229 13,583 6,584 6,999 13,991 6,837 7,154 60-64 12,336 6,097 6,239 13,344 6,304 7,040 13,696 6,568 7,128 65-69 8,760 4,323 4,437 11,550 5,644 5,906 13,378 6,228 7,150 70-74 5,908 2,871 3,037 7,899 3,853 4,046 11,186 5,391 5,795 75-79 4,563 2,135 2,428 5,101 2,408 2,693 7,159 3,403 3,756 80-84 3,666 1,560 2,106 3,633 1,613 2,020 4,134 1,864 2,270 85+ 3,743 1,283 2,460 4,243 1,517 2,726 4,530 1,686 2,844
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 241,138 119,470 121,668 256,643 127,059 129,584 271,142 134,212 136,930 0-4 13,416 6,874 6,542 13,769 7,056 6,713 14,187 7,275 6,912 5-9 14,087 7,223 6,864 14,738 7,547 7,191 15,064 7,714 7,350 10-14 13,988 7,163 6,825 15,392 7,890 7,502 16,050 8,229 7,821 15-19 16,436 8,266 8,170 17,581 8,775 8,806 19,137 9,567 9,570 20-24 20,727 10,116 10,611 21,826 10,714 11,112 23,015 11,241 11,774 25-29 14,265 7,033 7,232 14,431 7,240 7,191 15,628 7,869 7,759 30-34 14,488 7,269 7,219 14,146 7,059 7,087 14,349 7,300 7,049 35-39 15,945 8,532 7,413 15,983 8,037 7,946 15,574 7,783 7,791 40-44 15,377 8,127 7,250 16,953 9,068 7,885 16,988 8,544 8,444 45-49 13,909 7,070 6,839 16,088 8,483 7,605 17,671 9,444 8,227 50-54 13,307 6,652 6,655 14,404 7,299 7,105 16,598 8,727 7,871 55-59 13,070 6,399 6,671 13,465 6,656 6,809 14,515 7,262 7,253 60-64 14,208 6,864 7,344 13,314 6,467 6,847 13,752 6,776 6,976 65-69 13,769 6,519 7,250 14,325 6,844 7,481 13,428 6,449 6,979 70-74 12,978 5,932 7,046 13,361 6,241 7,120 13,950 6,582 7,368 75-79 10,174 4,780 5,394 11,785 5,235 6,550 12,135 5,534 6,601 80-84 5,897 2,694 3,203 8,400 3,793 4,607 9,733 4,132 5,601 85+ 5,097 1,957 3,140 6,682 2,655 4,027 9,368 3,784 5,584
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 284,901 141,102 143,799 2010-15 8,910 11,553 7,956 5,313 0-4 14,940 7,654 7,286 2015-20 15,257 12,427 8,984 11,814 5-9 15,470 7,927 7,543 2020-25 15,831 12,936 9,978 12,873 10-14 16,334 8,373 7,961 2025-30 15,505 13,251 11,473 13,727 15-19 19,847 9,922 9,925 2030-35 14,499 13,712 13,233 14,020 20-24 24,804 12,129 12,675 2035-40 13,759 14,516 14,785 14,028 25-29 16,706 8,343 8,363 30-34 15,652 7,989 7,663 35-39 15,715 8,004 7,711 40-44 16,477 8,233 8,244 45-49 17,680 8,882 8,798 50-54 18,161 9,673 8,488 55-59 16,668 8,648 8,020 60-64 14,818 7,402 7,416 65-69 13,860 6,766 7,094 70-74 13,086 6,209 6,877 75-79 12,770 5,900 6,870 80-84 10,023 4,412 5,611 85+ 11,890 4,636 7,254
88
OFFICE OF FINANCIAL MANAGEMENT
50,000
100,000
150,000
200,000
250,000
300,000
350,000
400,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Whatcom County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
89
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Whitman Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 44,776 22,806 21,970 46,139 23,408 22,731 47,826 24,159 23,667 0-4 1,978 1,069 909 2,190 1,118 1,072 2,414 1,234 1,180 5-9 1,810 908 902 1,997 1,076 921 2,338 1,200 1,138 10-14 1,789 950 839 1,837 920 917 2,120 1,147 973 15-19 6,072 2,911 3,161 5,591 2,716 2,875 5,725 2,704 3,021 20-24 11,394 6,162 5,232 12,190 6,617 5,573 11,207 6,175 5,032 25-29 3,621 1,899 1,722 3,433 1,772 1,661 3,568 1,817 1,751 30-34 2,324 1,220 1,104 2,510 1,199 1,311 2,481 1,168 1,313 35-39 1,806 912 894 2,143 1,103 1,040 2,490 1,168 1,322 40-44 1,864 927 937 1,843 933 910 2,230 1,152 1,078 45-49 2,003 980 1,023 1,825 896 929 1,869 945 924 50-54 2,212 1,099 1,113 1,976 954 1,022 1,843 913 930 55-59 1,967 1,018 949 2,111 1,041 1,070 1,956 950 1,006 60-64 1,679 804 875 1,802 930 872 2,064 1,007 1,057 65-69 1,343 664 679 1,481 699 782 1,764 901 863 70-74 885 420 465 1,166 570 596 1,396 643 753 75-79 716 338 378 740 338 402 1,040 499 541 80-84 584 255 329 570 254 316 590 258 332 85+ 729 270 459 734 272 462 731 278 453
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 49,346 24,796 24,550 50,577 25,374 25,203 51,563 25,847 25,716 0-4 2,395 1,224 1,171 2,213 1,129 1,084 2,094 1,081 1,013 5-9 2,561 1,309 1,252 2,534 1,305 1,229 2,324 1,192 1,132 10-14 2,470 1,273 1,197 2,677 1,375 1,302 2,622 1,349 1,273 15-19 6,074 2,921 3,153 6,505 3,080 3,425 6,898 3,261 3,637 20-24 11,003 5,981 5,022 11,180 6,156 5,024 11,611 6,325 5,286 25-29 3,093 1,737 1,356 3,152 1,718 1,434 3,365 1,899 1,466 30-34 2,398 1,077 1,321 1,956 1,046 910 2,033 1,027 1,006 35-39 2,419 1,108 1,311 2,320 992 1,328 1,855 968 887 40-44 2,562 1,201 1,361 2,476 1,128 1,348 2,346 1,004 1,342 45-49 2,272 1,177 1,095 2,592 1,216 1,376 2,494 1,138 1,356 50-54 1,906 968 938 2,275 1,174 1,101 2,578 1,200 1,378 55-59 1,837 903 934 1,845 926 919 2,214 1,135 1,079 60-64 1,905 915 990 1,778 877 901 1,798 905 893 65-69 1,987 958 1,029 1,841 872 969 1,699 828 871 70-74 1,650 831 819 1,858 879 979 1,689 785 904 75-79 1,225 550 675 1,457 716 741 1,614 741 873 80-84 838 381 457 969 409 560 1,168 562 606 85+ 751 282 469 949 376 573 1,161 447 714
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 52,504 26,299 26,205 2010-15 1,363 2,230 1,212 345 0-4 2,162 1,107 1,055 2015-20 1,687 2,410 1,383 660 5-9 2,194 1,123 1,071 2020-25 1,520 2,371 1,514 663 10-14 2,395 1,233 1,162 2025-30 1,231 2,192 1,637 676 15-19 6,888 3,251 3,637 2030-35 986 2,098 1,784 672 20-24 12,194 6,639 5,555 2035-40 941 2,184 1,914 671 25-29 3,662 1,993 1,669 30-34 2,289 1,241 1,048 35-39 1,940 958 982 40-44 1,889 980 909 45-49 2,355 1,005 1,350 50-54 2,461 1,122 1,339 55-59 2,484 1,141 1,343 60-64 2,147 1,095 1,052 65-69 1,713 852 861 70-74 1,586 763 823 75-79 1,469 667 802 80-84 1,298 564 734 85+ 1,378 565 813
90
OFFICE OF FINANCIAL MANAGEMENT
30,000
35,000
40,000
45,000
50,000
55,000
60,000
65,000
70,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Whitman County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
91
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Yakima Population Projection: Intermediate Series
2010 2015 2020 Age Total Male Female Total Male Female Total Male Female Total 243,231 121,676 121,555 256,341 128,181 128,160 269,347 134,762 134,585 0-4 21,409 10,950 10,459 22,216 11,374 10,842 23,040 11,801 11,239 5-9 20,456 10,399 10,057 22,279 11,409 10,870 22,844 11,703 11,141 10-14 19,859 10,196 9,663 21,304 10,839 10,465 22,614 11,587 11,027 15-19 19,964 10,454 9,510 18,773 9,663 9,110 19,433 9,906 9,527 20-24 16,530 8,593 7,937 16,016 8,112 7,904 15,691 7,858 7,833 25-29 16,317 8,156 8,161 16,628 8,555 8,073 18,699 9,481 9,218 30-34 15,601 7,855 7,746 17,589 8,901 8,688 17,157 8,903 8,254 35-39 14,947 7,500 7,447 15,904 8,009 7,895 17,642 8,942 8,700 40-44 14,484 7,345 7,139 15,673 7,874 7,799 15,784 7,949 7,835 45-49 15,375 7,729 7,646 14,603 7,387 7,216 15,473 7,762 7,711 50-54 14,968 7,574 7,394 15,662 7,849 7,813 14,330 7,233 7,097 55-59 13,656 6,607 7,049 14,620 7,343 7,277 15,076 7,516 7,560 60-64 11,543 5,750 5,793 12,919 6,204 6,715 13,920 6,943 6,977 65-69 8,828 4,287 4,541 10,551 5,199 5,352 12,210 5,782 6,428 70-74 6,371 3,007 3,364 7,803 3,738 4,065 9,709 4,704 5,005 75-79 4,918 2,211 2,707 5,411 2,471 2,940 6,743 3,141 3,602 80-84 3,938 1,666 2,272 3,878 1,651 2,227 4,275 1,863 2,412 85+ 4,067 1,397 2,670 4,512 1,603 2,909 4,707 1,688 3,019
2025 2030 2035 Age Total Male Female Total Male Female Total Male Female Total 282,057 141,193 140,864 294,445 147,439 147,006 306,636 153,589 153,047 0-4 23,423 11,997 11,426 24,126 12,363 11,763 25,033 12,831 12,202 5-9 23,650 12,116 11,534 24,050 12,325 11,725 24,747 12,685 12,062 10-14 23,144 11,867 11,277 23,946 12,275 11,671 24,330 12,480 11,850 15-19 20,667 10,617 10,050 21,164 10,870 10,294 21,903 11,252 10,651 20-24 16,300 8,087 8,213 17,443 8,733 8,710 17,868 8,950 8,918 25-29 18,274 9,152 9,122 18,945 9,412 9,533 20,133 10,085 10,048 30-34 19,434 9,973 9,461 18,961 9,606 9,355 19,598 9,837 9,761 35-39 17,176 8,935 8,241 19,506 10,044 9,462 19,032 9,667 9,365 40-44 17,518 8,879 8,639 17,012 8,857 8,155 19,364 9,971 9,393 45-49 15,579 7,843 7,736 17,259 8,742 8,517 16,751 8,716 8,035 50-54 15,173 7,602 7,571 15,268 7,671 7,597 16,939 8,570 8,369 55-59 13,818 6,922 6,896 14,576 7,215 7,361 14,605 7,223 7,382 60-64 14,446 7,152 7,294 13,334 6,688 6,646 14,163 7,053 7,110 65-69 13,207 6,511 6,696 13,737 6,733 7,004 12,703 6,308 6,395 70-74 11,308 5,263 6,045 12,251 5,964 6,287 12,809 6,200 6,609 75-79 8,419 3,970 4,449 9,895 4,481 5,414 10,766 5,138 5,628 80-84 5,365 2,396 2,969 6,727 3,054 3,673 8,024 3,491 4,533 85+ 5,156 1,911 3,245 6,245 2,406 3,839 7,868 3,132 4,736
2040 Summary Data Age Total Male Female Period Change Births Deaths Migration Total 318,494 159,601 158,893 2010-15 13,110 22,009 8,506 -393 0-4 25,782 13,224 12,558 2015-20 13,006 22,993 9,273 -714 5-9 25,671 13,165 12,506 2020-25 12,710 23,413 9,718 -985 10-14 25,058 12,856 12,202 2025-30 12,388 24,229 10,690 -1,151 15-19 22,267 11,439 10,828 2030-35 12,191 25,284 11,806 -1,287 20-24 18,538 9,291 9,247 2035-40 11,858 26,142 12,850 -1,434 25-29 20,580 10,313 10,267 30-34 20,777 10,513 10,264 35-39 19,673 9,898 9,775 40-44 18,897 9,600 9,297 45-49 19,116 9,844 9,272 50-54 16,419 8,529 7,890 55-59 16,187 8,044 8,143 60-64 14,226 7,086 7,140 65-69 13,552 6,689 6,863 70-74 11,874 5,835 6,039 75-79 11,323 5,367 5,956 80-84 8,787 4,068 4,719 85+ 9,767 3,840 5,927
92
OFFICE OF FINANCIAL MANAGEMENT
100,000
150,000
200,000
250,000
300,000
350,000
400,000
450,000
1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015 2020 2025 2030 2035 2040
Yakima County
Census / OFM Estimate
2012 GMA High
2012 GMA Medium
2012 GMA Low
93
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Section IV. Final Projections of the Total Resident Population for the Growth Management Act: 2010- 2040 Final Projections of the Total Resident Population for the Growth Management Act High Series: 2010 to 2040
Census Projections
2010 2015 2020 2025 2030 2035 2040
Washington 6,724,540 7,696,799 8,323,520 8,943,546 9,545,810 10,120,536 10,676,170 Adams 18,728 21,085 23,158 25,172 27,187 29,278 31,483 Asotin 21,623 24,527 26,155 27,728 29,252 30,699 32,097 Benton 175,177 204,292 221,552 238,812 256,072 273,332 290,592 Chelan 72,453 80,634 88,524 96,414 104,304 112,194 120,084 Clallam 71,404 77,825 81,323 84,458 87,259 89,618 91,727 Clark 425,363 497,767 545,695 593,144 638,814 681,134 720,688 Columbia 4,078 4,250 4,280 4,310 4,340 4,370 4,400 Cowlitz 102,410 110,570 115,985 121,400 126,815 132,230 137,645 Douglas 38,431 45,031 49,469 53,935 58,270 62,336 66,223 Ferry 7,551 8,619 9,102 9,541 9,934 10,309 10,647 Franklin 78,163 104,430 128,310 153,318 179,327 206,066 233,862 Garfield 2,266 2,417 2,492 2,567 2,642 2,717 2,792 Grant 89,120 101,720 114,891 128,253 141,847 155,337 168,810 Grays Harbor 72,797 77,990 79,990 81,990 83,990 85,990 87,990 Island 78,506 91,944 99,714 107,419 115,351 123,358 131,741 Jefferson 29,872 34,492 37,748 41,127 44,850 48,872 52,810 King 1,931,249 2,133,549 2,280,673 2,418,634 2,549,780 2,672,931 2,790,631 Kitsap 251,133 297,455 326,510 355,786 383,613 408,976 432,873 Kittitas 40,915 47,759 52,395 57,065 61,652 66,075 70,431 Klickitat 20,318 22,914 23,938 24,903 25,784 26,511 27,114 Lewis 75,455 86,431 92,016 97,358 102,378 107,059 111,684 Lincoln 10,570 11,253 11,403 11,553 11,703 11,853 12,003 Mason 60,699 69,904 76,239 82,618 89,093 95,472 101,583 Okanogan 41,120 47,000 49,600 52,200 54,800 57,400 60,000 Pacific 20,920 22,000 22,600 23,200 23,800 24,400 25,000 Pend Oreille 13,001 14,697 15,691 16,646 17,509 18,322 19,068 Pierce 795,225 907,455 964,600 1,024,690 1,080,829 1,131,918 1,179,458 San Juan 15,769 18,270 19,736 21,204 22,654 24,043 25,378 Skagit 116,901 137,199 150,199 164,858 179,929 195,148 210,827 Skamania 11,066 12,415 12,932 13,665 14,363 14,991 15,509 Snohomish 713,335 836,247 921,136 1,004,154 1,084,952 1,161,003 1,232,605 Spokane 471,221 548,980 595,683 641,412 684,623 724,554 762,387 Stevens 43,531 50,733 54,689 58,953 63,381 67,937 72,583 Thurston 252,264 295,512 324,412 353,312 382,212 411,112 440,012 Wahkiakum 3,978 4,245 4,295 4,345 4,395 4,445 4,495 Walla Walla 58,781 62,483 65,853 69,223 72,593 75,963 79,333 Whatcom 201,140 231,274 255,019 278,764 302,509 326,254 350,000 Whitman 44,776 51,090 54,172 57,074 59,663 61,988 64,264 Yakima 243,231 300,341 321,341 342,341 363,341 384,341 405,341
Note: Unrounded data should not be considered accurate to the last digit. OFM/Forecasting | August 2012
94
OFFICE OF FINANCIAL MANAGEMENT
Final Projections of the Total Resident Population for the Growth Management Act Medium Series: 2010 to 2040
Census Projections
2010 2015 2020 2025 2030 2035 2040
Washington 6,724,540 7,022,200 7,411,977 7,793,173 8,154,193 8,483,628 8,790,981 Adams 18,728 20,257 21,640 22,964 24,289 25,690 27,205 Asotin 21,623 21,818 22,033 22,196 22,313 22,358 22,356 Benton 175,177 184,882 197,806 210,803 223,689 236,007 247,856 Chelan 72,453 75,180 78,586 81,885 84,778 87,168 89,246 Clallam 71,404 71,868 73,616 75,022 76,112 76,786 77,224 Clark 425,363 447,201 477,884 508,124 536,717 562,207 585,137 Columbia 4,078 4,047 4,013 3,968 3,895 3,800 3,700 Cowlitz 102,410 105,130 108,588 111,706 114,158 115,798 116,897 Douglas 38,431 40,603 43,619 46,662 49,583 52,256 54,762 Ferry 7,551 7,619 7,706 7,751 7,754 7,740 7,692 Franklin 78,163 87,755 100,926 115,142 130,284 146,103 162,900 Garfield 2,266 2,238 2,220 2,210 2,202 2,175 2,143 Grant 89,120 95,822 104,078 112,525 121,204 129,779 138,337 Grays Harbor 72,797 73,575 74,408 75,529 76,428 76,905 77,070 Island 78,506 80,337 82,735 85,073 87,621 90,239 93,205 Jefferson 29,872 30,469 32,017 33,678 35,657 37,914 40,093 King 1,931,249 2,012,782 2,108,814 2,196,202 2,277,160 2,350,576 2,418,850 Kitsap 251,133 262,032 275,546 289,265 301,642 311,737 320,475 Kittitas 40,915 42,592 45,255 47,949 50,567 53,032 55,436 Klickitat 20,318 20,606 20,943 21,225 21,430 21,492 21,439 Lewis 75,455 77,621 80,385 82,924 85,165 87,092 88,967 Lincoln 10,570 10,616 10,707 10,800 10,865 10,862 10,817 Mason 60,699 63,203 67,545 71,929 76,401 80,784 84,919 Okanogan 41,120 42,230 43,163 43,978 44,619 45,127 45,707 Pacific 20,920 20,860 20,990 21,261 21,495 21,736 22,042 Pend Oreille 13,001 13,289 13,692 13,977 14,129 14,149 14,116 Pierce 795,225 831,944 876,565 923,912 967,601 1,006,614 1,042,341 San Juan 15,769 15,907 16,256 16,606 16,939 17,216 17,443 Skagit 116,901 121,624 128,249 136,410 144,953 153,632 162,738 Skamania 11,066 11,282 11,548 12,014 12,447 12,816 13,082 Snohomish 713,335 750,358 805,015 857,939 908,807 955,281 997,634 Spokane 471,221 489,491 513,910 537,428 558,614 576,763 592,969 Stevens 43,531 44,262 45,212 46,447 47,834 49,340 50,929 Thurston 252,264 266,224 288,265 307,930 326,426 343,019 358,031 Wahkiakum 3,978 3,931 3,877 3,830 3,772 3,716 3,669 Walla Walla 58,781 60,015 61,685 63,368 64,978 66,378 67,655 Whatcom 201,140 210,050 225,307 241,138 256,643 271,142 284,901 Whitman 44,776 46,139 47,826 49,346 50,577 51,563 52,504 Yakima 243,231 256,341 269,347 282,057 294,445 306,636 318,494
Note: Unrounded data should not be considered accurate to the last digit. OFM/Forecasting | August 2012
95
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Final Projections of the Total Resident Population for the Growth Management Act Low Series: 2010 to 2040
Census Projections
2010 2015 2020 2025 2030 2035 2040
Washington 6,724,540 6,449,120 6,650,235 6,841,751 7,014,758 7,162,261 7,291,717 Adams 18,728 19,147 19,605 20,004 20,404 20,880 21,470 Asotin 21,623 19,838 19,800 19,715 19,588 19,394 19,158 Benton 175,177 165,472 166,377 167,282 168,187 169,092 169,997 Chelan 72,453 68,266 70,499 72,634 74,396 75,695 76,706 Clallam 71,404 68,000 66,400 64,800 63,200 61,600 60,000 Clark 425,363 420,369 431,998 443,210 452,874 459,621 463,962 Columbia 4,078 3,900 3,800 3,700 3,600 3,500 3,400 Cowlitz 102,410 99,690 99,750 99,810 99,870 99,930 99,990 Douglas 38,431 35,630 36,679 37,754 38,716 39,451 40,031 Ferry 7,551 6,914 6,900 6,846 6,754 6,646 6,507 Franklin 78,163 75,685 82,752 90,781 99,661 109,165 119,568 Garfield 2,266 2,059 1,999 1,939 1,879 1,819 1,759 Grant 89,120 90,398 94,134 98,061 102,220 106,275 110,313 Grays Harbor 72,797 69,161 69,161 69,161 69,161 69,161 69,161 Island 78,506 71,110 70,516 69,867 69,411 69,020 68,949 Jefferson 29,872 27,426 27,426 27,426 27,426 27,426 27,426 King 1,931,249 1,892,015 1,954,815 2,009,490 2,058,120 2,099,661 2,136,369 Kitsap 251,133 232,674 236,712 240,939 243,931 244,823 244,467 Kittitas 40,915 40,036 40,631 41,226 41,821 42,416 43,011 Klickitat 20,318 18,433 18,218 17,952 17,616 17,148 16,574 Lewis 75,455 72,964 72,964 72,964 72,964 72,964 72,964 Lincoln 10,570 9,979 9,974 9,969 9,964 9,959 9,954 Mason 60,699 56,447 58,741 61,075 63,489 65,821 67,925 Okanogan 41,120 38,000 38,000 38,000 38,000 38,000 38,000 Pacific 20,920 20,000 20,000 20,000 20,000 20,000 20,000 Pend Oreille 13,001 11,976 12,097 12,109 11,999 11,767 11,487 Pierce 795,225 749,813 775,290 803,274 827,893 848,210 865,504 San Juan 15,769 14,104 13,896 13,688 13,464 13,189 12,868 Skagit 116,901 109,034 112,269 116,917 121,917 127,041 132,559 Skamania 11,066 10,605 10,785 10,965 11,145 11,325 11,505 Snohomish 713,335 675,034 710,024 743,419 774,922 802,384 826,053 Spokane 471,221 450,827 464,485 477,297 487,917 495,682 501,621 Stevens 43,531 39,271 38,695 38,381 38,207 38,143 38,155 Thurston 252,264 238,686 252,724 264,576 275,352 284,377 291,949 Wahkiakum 3,978 3,617 3,512 3,407 3,302 3,197 3,092 Walla Walla 58,781 56,825 57,090 57,355 57,620 57,885 58,150 Whatcom 201,140 192,540 202,407 210,985 217,628 224,268 230,908 Whitman 44,776 43,371 43,371 43,371 43,371 43,371 43,371 Yakima 243,231 229,804 235,739 241,402 246,769 251,955 256,834
Note: Unrounded data should not be considered accurate to the last digit. OFM/Forecasting | August 2012
96
OFFICE OF FINANCIAL MANAGEMENT
Section V. Projections of the Total Resident Population for the Growth Management Act: 2010 to 2040 by Single Year After 2015
97
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Proj
ectio
ns o
f the
Tot
al R
esid
ent P
opul
atio
n fo
r the
Gro
wth
Man
agem
ent A
ct
Hig
h Se
ries:
201
0 to
204
0 by
Sin
gle
Year
Afte
r 201
5
Ce
nsus
20
10
2015
20
16
2017
20
18
2019
20
20
2021
20
22
2023
20
24
2025
20
26
2027
W
ashin
gton
6,724
,540
7,696
,794
7,789
,204
7,927
,837
8,063
,285
8,195
,266
8,323
,502
8,441
,134
8,565
,855
8,691
,181
8,817
,087
8,943
,536
9,057
,765
9,179
,402
Adam
s 18
,728
21,08
6 21
,454
21,88
1 22
,307
22,73
3 23
,157
23,53
3 23
,939
24,34
8 24
,758
25,17
1 25
,553
25,95
6 As
otin
21,62
3 24
,527
24,74
5 25
,118
25,47
8 25
,823
26,15
4 26
,454
26,77
3 27
,091
27,41
0 27
,729
28,02
1 28
,329
Bento
n 17
5,177
20
4,290
20
6,660
21
0,565
21
4,355
21
8,021
22
1,552
22
4,836
22
8,296
23
1,779
23
5,285
23
8,813
24
2,109
24
5,567
Ch
elan
72,45
3 80
,635
82,09
4 83
,687
85,29
0 86
,902
88,52
3 90
,014
91,59
6 93
,191
94,79
7 96
,415
97,91
2 99
,493
Clall
am
71,40
4 77
,826
78,30
1 79
,111
79,88
5 80
,623
81,32
2 81
,915
82,55
9 83
,197
83,83
0 84
,456
84,99
1 85
,568
Clar
k 42
5,363
49
7,767
50
4,900
51
5,446
52
5,777
53
5,867
54
5,696
55
4,670
56
4,220
57
3,817
58
3,460
59
3,144
60
1,775
61
1,031
Co
lumbia
4,0
78
4,251
4,2
47
4,258
4,2
68
4,275
4,2
81
4,286
4,2
92
4,297
4,3
03
4,308
4,3
15
4,322
Co
wlitz
10
2,410
11
0,571
11
1,423
11
2,604
11
3,758
11
4,885
11
5,982
11
7,034
11
8,119
11
9,208
12
0,302
12
1,399
12
2,453
12
3,537
Do
uglas
38
,431
45,03
0 45
,696
46,66
8 47
,623
48,55
7 49
,470
50,31
7 51
,212
52,11
4 53
,021
53,93
4 54
,754
55,63
2 Fe
rry
7,551
8,6
20
8,670
8,7
89
8,900
9,0
04
9,101
9,1
85
9,275
9,3
65
9,453
9,5
42
9,615
9,6
95
Fran
klin
78,16
3 10
4,429
10
8,285
11
3,195
11
8,177
12
3,220
12
8,312
13
2,781
13
7,760
14
2,843
14
8,029
15
3,317
15
8,038
16
3,221
Ga
rfield
2,266
2,4
18
2,427
2,4
44
2,460
2,4
76
2,490
2,5
05
2,520
2,5
35
2,551
2,5
66
2,581
2,5
96
Gran
t 89
,120
101,7
20
104,1
82
106,8
03
109,4
61
112,1
57
114,8
90
117,3
78
120,0
50
122,7
52
125,4
86
128,2
50
130,8
10
133,5
30
Gray
s Har
bor
72,79
7 77
,989
78,16
0 78
,671
79,14
8 79
,587
79,99
0 80
,385
80,78
6 81
,187
81,59
0 81
,993
82,38
5 82
,784
Islan
d 78
,506
91,94
2 92
,984
94,75
6 96
,471
98,12
6 99
,714
101,1
72
102,7
16
104,2
72
105,8
41
107,4
20
108,9
48
110,5
29
Jeffe
rson
29,87
2 34
,493
34,99
9 35
,701
36,39
4 37
,077
37,74
7 38
,388
39,05
7 39
,737
40,42
7 41
,127
41,84
8 42
,579
King
1,9
31,24
9 2,1
33,54
9 2,1
57,80
7 2,1
89,40
7 2,2
20,44
5 2,2
50,88
0 2,2
80,67
5 2,3
06,70
1 2,3
34,74
1 2,3
62,75
0 2,3
90,71
7 2,4
18,63
6 2,4
43,65
2 2,4
70,24
8 Ki
tsap
251,1
33
297,4
53
301,5
72
308,0
54
314,3
82
320,5
40
326,5
10
332,0
82
337,9
59
343,8
69
349,8
11
355,7
83
361,0
20
366,6
77
Kittit
as
40,91
5 47
,758
48,46
0 49
,473
50,46
8 51
,443
52,39
6 53
,282
54,21
7 55
,159
56,10
8 57
,063
57,93
2 58
,857
Klick
itat
20,31
8 22
,912
22,99
9 23
,263
23,50
8 23
,734
23,94
1 24
,126
24,32
2 24
,517
24,71
1 24
,904
25,07
3 25
,254
Lewi
s 75
,455
86,42
8 87
,104
88,42
5 89
,686
90,88
4 92
,015
93,03
3 94
,115
95,19
7 96
,278
97,35
6 98
,311
99,33
2 Lin
coln
10,57
0 11
,252
11,24
5 11
,293
11,33
5 11
,371
11,40
1 11
,431
11,46
2 11
,492
11,52
2 11
,553
11,58
3 11
,613
Maso
n 60
,699
69,90
4 70
,880
72,25
7 73
,611
74,93
9 76
,239
77,45
0 78
,725
80,01
2 81
,309
82,61
7 83
,858
85,15
3 Ok
anog
an
41,12
0 47
,000
47,26
2 47
,902
48,50
6 49
,073
49,60
0 50
,103
50,62
3 51
,146
51,67
2 52
,199
52,70
3 53
,223
Pacif
ic 20
,920
22,00
0 22
,085
22,22
2 22
,353
22,48
0 22
,601
22,71
9 22
,839
22,95
9 23
,080
23,20
0 23
,317
23,43
7 Pe
nd O
reille
13
,001
14,70
0 14
,838
15,06
3 15
,280
15,49
0 15
,691
15,87
3 16
,067
16,26
0 16
,453
16,64
5 16
,806
16,98
3 Pi
erce
79
5,225
90
7,454
91
4,327
92
7,750
94
0,624
95
2,918
96
4,601
97
6,448
98
8,423
1,0
00,45
6 1,0
12,54
5 1,0
24,69
0 1,0
35,35
4 1,0
46,79
5 Sa
n Jua
n 15
,769
18,26
8 18
,468
18,80
1 19
,124
19,43
5 19
,735
20,01
5 20
,310
20,60
6 20
,904
21,20
4 21
,482
21,77
4 Sk
agit
116,9
01
137,1
98
139,0
58
141,9
20
144,7
34
147,4
94
150,1
96
153,0
67
155,9
42
158,8
65
161,8
36
164,8
58
167,7
28
170,7
34
Skam
ania
11,06
6 12
,419
12,45
6 12
,585
12,70
7 12
,822
12,93
0 13
,089
13,22
8 13
,371
13,51
7 13
,665
13,79
9 13
,941
Snoh
omish
71
3,335
83
6,250
84
9,237
86
7,735
88
5,910
90
3,722
92
1,133
93
6,708
95
3,448
97
0,273
98
7,177
1,0
04,15
5 1,0
19,43
3 1,0
35,76
2 Sp
okan
e 47
1,221
54
8,976
55
5,476
56
6,018
57
6,251
58
6,149
59
5,685
60
4,370
61
3,598
62
2,849
63
2,121
64
1,411
64
9,572
65
8,357
St
even
s 43
,531
50,73
4 51
,237
52,14
7 53
,027
53,87
5 54
,689
55,51
9 56
,360
57,21
3 58
,077
58,95
1 59
,804
60,68
5 Th
ursto
n 25
2,264
29
5,512
29
9,832
30
6,173
31
2,392
31
8,475
32
4,410
32
9,870
33
5,665
34
1,505
34
7,388
35
3,314
35
8,798
36
4,591
W
ahkia
kum
3,978
4,2
46
4,240
4,2
56
4,269
4,2
81
4,290
4,3
02
4,312
4,3
23
4,333
4,3
44
4,354
4,3
64
Wall
a Wall
a 58
,781
62,48
1 63
,109
63,79
6 64
,482
65,16
8 65
,852
66,50
4 67
,179
67,85
6 68
,537
69,22
1 69
,874
70,54
9 W
hatco
m 20
1,140
23
1,275
23
5,226
24
0,231
24
5,202
25
0,132
25
5,016
25
9,491
26
4,253
26
9,054
27
3,892
27
8,767
28
3,263
28
8,023
W
hitma
n 44
,776
51,09
1 51
,448
52,18
5 52
,887
53,54
9 54
,171
54,72
5 55
,317
55,90
5 56
,491
57,07
3 57
,560
58,09
3 Ya
kima
243,2
31
300,3
40
301,6
11
307,1
84
312,3
50
317,0
79
321,3
44
325,3
73
329,5
80
333,8
11
338,0
65
342,3
43
346,3
81
350,5
88
Notes
: Data
may
be sl
ightly
diffe
rent
from
those
pres
ented
in th
e 5 ye
ar in
terva
ls du
e to r
ound
ing. U
nrou
nded
data
shou
ld no
t be c
onsid
ered
accu
rate
to the
last
digit.
OFM/
Fore
casti
ng | A
ugus
t 201
2
98
OFFICE OF FINANCIAL MANAGEMENT
Proj
ectio
ns o
f the
Tot
al R
esid
ent P
opul
atio
n fo
r the
Gro
wth
Man
agem
ent A
ct
Hig
h Se
ries:
201
0 to
204
0 by
Sin
gle
Year
Afte
r 201
5 (c
ont.)
20
28
2029
20
30
2031
20
32
2033
20
34
2035
20
36
2037
20
38
2039
20
40
Was
hingto
n 9,3
01,30
8 9,4
23,45
2 9,5
45,79
5 9,6
54,45
2 9,7
70,79
7 9,8
87,27
9 10
,003,8
69
10,12
0,536
10
,229,0
94
10,33
8,920
10
,450,0
30
10,56
2,439
10
,676,1
66
Adam
s 26
,363
26,77
3 27
,187
27,58
8 28
,003
28,42
3 28
,848
29,27
8 29
,706
30,14
0 30
,580
31,02
7 31
,480
Asoti
n 28
,637
28,94
6 29
,253
29,52
9 29
,823
30,11
6 30
,409
30,70
1 30
,976
31,25
3 31
,533
31,81
5 32
,100
Bento
n 24
9,048
25
2,549
25
6,071
25
9,378
26
2,836
26
6,315
26
9,813
27
3,331
27
6,699
28
0,109
28
3,561
28
7,055
29
0,592
Ch
elan
101,0
85
102,6
88
104,3
02
105,8
06
107,3
88
108,9
79
110,5
81
112,1
93
113,7
28
115,2
85
116,8
63
118,4
62
120,0
83
Clall
am
86,13
9 86
,702
87,25
8 87
,697
88,18
8 88
,672
89,15
0 89
,620
90,03
7 90
,456
90,87
7 91
,300
91,72
5 Cl
ark
620,2
92
629,5
55
638,8
16
646,7
41
655,3
72
663,9
84
672,5
72
681,1
35
688,8
68
696,6
89
704,5
98
712,5
98
720,6
88
Colum
bia
4,328
4,3
34
4,341
4,3
47
4,353
4,3
59
4,365
4,3
71
4,377
4,3
82
4,388
4,3
93
4,399
Co
wlitz
12
4,625
12
5,719
12
6,816
12
7,870
12
8,954
13
0,042
13
1,134
13
2,230
13
3,296
13
4,370
13
5,453
13
6,545
13
7,646
Do
uglas
56
,510
57,39
0 58
,272
59,03
2 59
,858
60,68
4 61
,509
62,33
4 63
,093
63,86
2 64
,640
65,42
7 66
,224
Ferry
9,7
75
9,854
9,9
33
10,00
7 10
,083
10,15
9 10
,235
10,31
1 10
,377
10,44
4 10
,511
10,57
8 10
,646
Fran
klin
168,4
98
173,8
68
179,3
27
184,2
17
189,5
50
194,9
71
200,4
77
206,0
67
211,3
49
216,7
66
222,3
22
228,0
20
233,8
65
Garfie
ld 2,6
12
2,627
2,6
43
2,658
2,6
72
2,687
2,7
02
2,717
2,7
32
2,748
2,7
63
2,778
2,7
94
Gran
t 13
6,276
13
9,048
14
1,846
14
4,376
14
7,085
14
9,815
15
2,566
15
5,335
15
7,941
16
0,592
16
3,286
16
6,026
16
8,812
Gr
ays H
arbo
r 83
,185
83,58
6 83
,988
84,38
2 84
,781
85,18
2 85
,583
85,98
5 86
,382
86,78
0 87
,181
87,58
3 87
,987
Islan
d 11
2,123
11
3,730
11
5,351
11
6,882
11
8,479
12
0,091
12
1,718
12
3,359
12
4,992
12
6,646
12
8,323
13
0,021
13
1,742
Je
fferso
n 43
,322
44,07
8 44
,847
45,63
3 46
,430
47,23
6 48
,051
48,87
5 49
,638
50,41
3 51
,201
52,00
0 52
,812
King
2,4
96,80
7 2,5
23,31
9 2,5
49,77
8 2,5
73,21
0 2,5
98,21
3 2,6
23,17
1 2,6
48,07
8 2,6
72,92
9 2,6
96,06
6 2,7
19,40
3 2,7
42,94
2 2,7
66,68
5 2,7
90,63
3 Ki
tsap
372,3
31
377,9
77
383,6
13
388,3
25
393,5
12
398,6
84
403,8
39
408,9
75
413,6
47
418,3
72
423,1
52
427,9
86
432,8
75
Kittit
as
59,78
5 60
,717
61,65
2 62
,487
63,38
1 64
,277
65,17
6 66
,078
66,92
7 67
,786
68,65
6 69
,538
70,43
1 Kl
ickita
t 25
,431
25,60
8 25
,782
25,91
7 26
,070
26,22
1 26
,367
26,51
2 26
,632
26,75
2 26
,872
26,99
3 27
,115
Lewi
s 10
0,349
10
1,363
10
2,375
10
3,263
10
4,214
10
5,164
10
6,113
10
7,061
10
7,969
10
8,886
10
9,810
11
0,741
11
1,681
Lin
coln
11,64
4 11
,674
11,70
5 11
,735
11,76
4 11
,794
11,82
4 11
,854
11,88
3 11
,913
11,94
2 11
,971
12,00
1 Ma
son
86,45
8 87
,771
89,09
2 90
,309
91,59
4 92
,882
94,17
5 95
,471
96,66
2 97
,869
99,09
0 10
0,327
10
1,579
Ok
anog
an
53,74
7 54
,272
54,79
9 55
,304
55,82
4 56
,347
56,87
2 57
,399
57,91
0 58
,426
58,94
6 59
,471
60,00
0 Pa
cific
23,55
7 23
,677
23,79
8 23
,915
24,03
5 24
,155
24,27
6 24
,396
24,51
5 24
,635
24,75
5 24
,876
24,99
7 Pe
nd O
reille
17
,159
17,33
5 17
,509
17,66
5 17
,831
17,99
5 18
,159
18,32
3 18
,469
18,61
7 18
,765
18,91
5 19
,066
Pier
ce
1,058
,191
1,069
,538
1,080
,831
1,090
,460
1,100
,907
1,111
,301
1,121
,639
1,131
,916
1,141
,269
1,150
,699
1,160
,207
1,169
,794
1,179
,460
San J
uan
22,06
7 22
,361
22,65
5 22
,918
23,19
9 23
,480
23,76
1 24
,042
24,30
3 24
,567
24,83
4 25
,104
25,37
7 Sk
agit
173,7
70
176,8
35
179,9
30
182,8
16
185,8
56
188,9
25
192,0
23
195,1
49
198,1
89
201,2
76
204,4
11
207,5
95
210,8
28
Skam
ania
14,08
2 14
,223
14,36
3 14
,483
14,61
3 14
,742
14,86
8 14
,993
15,09
5 15
,197
15,30
0 15
,404
15,50
8 Sn
ohom
ish
1,052
,128
1,068
,527
1,084
,952
1,099
,239
1,114
,700
1,130
,152
1,145
,590
1,161
,006
1,174
,985
1,189
,132
1,203
,449
1,217
,939
1,232
,603
Spok
ane
667,1
29
675,8
86
684,6
22
692,1
23
700,2
63
708,3
83
716,4
81
724,5
54
731,9
67
739,4
56
747,0
22
754,6
65
762,3
86
Stev
ens
61,57
4 62
,472
63,37
9 64
,258
65,16
7 66
,083
67,00
7 67
,940
68,84
4 69
,760
70,68
9 71
,630
72,58
3 Th
ursto
n 37
0,425
37
6,298
38
2,211
38
7,719
39
3,510
39
9,340
40
5,207
41
1,110
41
6,735
42
2,436
42
8,216
43
4,075
44
0,014
W
ahkia
kum
4,374
4,3
85
4,395
4,4
04
4,414
4,4
24
4,433
4,4
43
4,453
4,4
63
4,474
4,4
84
4,494
W
alla W
alla
71,22
6 71
,907
72,59
0 73
,245
73,92
1 74
,599
75,28
0 75
,963
76,62
5 77
,293
77,96
7 78
,646
79,33
2 W
hatco
m 29
2,818
29
7,648
30
2,510
30
7,026
31
1,784
31
6,575
32
1,398
32
6,252
33
0,869
33
5,551
34
0,300
34
5,116
35
0,000
W
hitma
n 58
,622
59,14
5 59
,664
60,10
0 60
,575
61,04
8 61
,519
61,98
8 62
,437
62,88
9 63
,344
63,80
3 64
,265
Yakim
a 35
4,816
35
9,067
36
3,339
36
7,388
37
1,595
37
5,822
38
0,071
38
4,340
38
8,452
39
2,607
39
6,807
40
1,053
40
5,343
Notes
: Data
may
be sl
ightly
diffe
rent
from
those
pres
ented
in th
e 5 ye
ar in
terva
ls du
e to r
ound
ing. U
nrou
nded
data
shou
ld no
t be c
onsid
ered
accu
rate
to the
last
digit.
OFM/
Fore
casti
ng | A
ugus
t 201
2
99
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Proj
ectio
ns o
f the
Tot
al R
esid
ent P
opul
atio
n fo
r the
Gro
wth
Man
agem
ent A
ct
Med
ium
Ser
ies:
201
0 to
204
0 by
Sin
gle
Year
Afte
r 201
5
C
ensu
s
20
10
2015
20
16
2017
20
18
2019
20
20
2021
20
22
2023
20
24
2025
20
26
2027
W
ashin
gton
6,724
,540
7,022
,200
7,100
,451
7,178
,675
7,256
,835
7,334
,646
7,411
,977
7,489
,586
7,566
,384
7,642
,316
7,717
,276
7,793
,173
7,867
,861
7,941
,330
Adam
s 18
,728
20,25
7 20
,502
20,79
4 21
,082
21,36
4 21
,640
21,90
4 22
,170
22,43
5 22
,698
22,96
4 23
,235
23,50
0 As
otin
21,62
3 21
,818
21,85
2 21
,905
21,95
4 21
,996
22,03
3 22
,076
22,10
9 22
,141
22,16
7 22
,196
22,23
3 22
,260
Bento
n 17
5,177
18
4,882
18
7,492
19
0,054
19
2,631
19
5,217
19
7,806
20
0,422
20
3,022
20
5,612
20
8,189
21
0,803
21
3,438
21
6,033
Ch
elan
72,45
3 75
,180
75,85
4 76
,550
77,23
8 77
,918
78,58
6 79
,274
79,94
2 80
,598
81,23
8 81
,885
82,49
2 83
,092
Clall
am
71,40
4 71
,868
72,27
3 72
,617
72,95
6 73
,290
73,61
6 73
,919
74,21
5 74
,495
74,75
8 75
,022
75,27
9 75
,514
Clar
k 42
5,363
44
7,201
45
3,499
45
9,548
46
5,638
47
1,753
47
7,884
48
3,971
49
0,058
49
6,096
50
2,077
50
8,124
51
3,953
51
9,781
Co
lumbia
4,0
78
4,047
4,0
38
4,034
4,0
28
4,021
4,0
13
4,006
3,9
97
3,989
3,9
78
3,968
3,9
55
3,942
Co
wlitz
10
2,410
10
5,130
10
5,814
10
6,534
10
7,239
10
7,924
10
8,588
10
9,254
10
9,896
11
0,514
11
1,109
11
1,706
11
2,241
11
2,765
Do
uglas
38
,431
40,60
3 41
,218
41,81
2 42
,411
43,01
4 43
,619
44,23
0 44
,841
45,44
8 46
,051
46,66
2 47
,254
47,84
7 Fe
rry
7,551
7,6
19
7,634
7,6
55
7,674
7,6
91
7,706
7,7
16
7,727
7,7
36
7,743
7,7
51
7,752
7,7
56
Fran
klin
78,16
3 87
,755
90,36
3 92
,902
95,51
1 98
,185
100,9
26
103,6
44
106,4
50
109,2
98
112,1
86
115,1
42
118,0
67
121,0
67
Garfie
ld 2,2
66
2,238
2,2
34
2,231
2,2
28
2,225
2,2
20
2,220
2,2
18
2,215
2,2
12
2,210
2,2
11
2,209
Gr
ant
89,12
0 95
,822
97,44
7 99
,090
100,7
44
102,4
08
104,0
78
105,7
52
107,4
35
109,1
21
110,8
09
112,5
25
114,2
79
116,0
13
Gray
s Har
bor
72,79
7 73
,575
73,70
1 73
,898
74,08
3 74
,253
74,40
8 74
,698
74,91
4 75
,121
75,31
9 75
,529
75,75
5 75
,949
Islan
d 78
,506
80,33
7 80
,808
81,30
7 81
,796
82,27
3 82
,735
83,23
4 83
,700
84,15
9 84
,610
85,07
3 85
,647
86,15
0 Je
fferso
n 29
,872
30,46
9 30
,818
31,10
8 31
,405
31,70
9 32
,017
32,35
9 32
,683
33,01
1 33
,339
33,67
8 34
,100
34,48
3 Ki
ng
1,931
,249
2,012
,782
2,031
,620
2,051
,383
2,070
,888
2,090
,044
2,108
,814
2,126
,575
2,144
,420
2,161
,897
2,178
,979
2,196
,202
2,213
,306
2,229
,846
Kitsa
p 25
1,133
26
2,032
26
4,698
26
7,433
27
0,161
27
2,865
27
5,546
27
8,406
28
1,159
28
3,876
28
6,555
28
9,265
29
1,834
29
4,390
Ki
ttitas
40
,915
42,59
2 43
,152
43,67
1 44
,195
44,72
3 45
,255
45,80
3 46
,343
46,87
9 47
,410
47,94
9 48
,487
49,01
6 Kl
ickita
t 20
,318
20,60
6 20
,667
20,74
3 20
,815
20,88
1 20
,943
21,00
9 21
,068
21,12
2 21
,173
21,22
5 21
,279
21,32
4 Le
wis
75,45
5 77
,621
78,16
9 78
,741
79,30
2 79
,852
80,38
5 80
,920
81,43
8 81
,942
82,43
0 82
,924
83,41
0 83
,873
Linco
ln 10
,570
10,61
6 10
,632
10,65
4 10
,674
10,69
2 10
,707
10,73
3 10
,751
10,76
8 10
,784
10,80
0 10
,820
10,83
5 Ma
son
60,69
9 63
,203
64,13
4 64
,968
65,81
6 66
,675
67,54
5 68
,426
69,30
3 70
,175
71,04
5 71
,929
72,84
9 73
,744
Okan
ogan
41
,120
42,23
0 42
,383
42,59
7 42
,799
42,98
9 43
,163
43,34
5 43
,513
43,67
3 43
,825
43,97
8 44
,128
44,26
4 Pa
cific
20,92
0 20
,860
20,88
4 20
,913
20,94
0 20
,966
20,99
0 21
,067
21,11
6 21
,164
21,21
1 21
,261
21,32
0 21
,368
Pend
Ore
ille
13,00
1 13
,289
13,37
2 13
,457
13,53
8 13
,616
13,69
2 13
,751
13,81
3 13
,871
13,92
5 13
,977
14,01
0 14
,047
Pier
ce
795,2
25
831,9
44
840,6
54
849,6
78
858,6
91
867,6
59
876,5
65
886,4
94
895,9
11
905,2
53
914,5
12
923,9
12
932,8
94
941,8
36
San J
uan
15,76
9 15
,907
15,98
2 16
,052
16,12
2 16
,189
16,25
6 16
,333
16,40
4 16
,473
16,53
7 16
,606
16,68
3 16
,752
Skag
it 11
6,901
12
1,624
12
2,945
12
4,246
12
5,567
12
6,902
12
8,249
12
9,992
13
1,567
13
3,158
13
4,760
13
6,410
13
8,175
13
9,873
Sk
aman
ia 11
,066
11,28
2 11
,328
11,38
3 11
,438
11,49
3 11
,548
11,66
1 11
,747
11,83
4 11
,922
12,01
4 12
,107
12,19
5 Sn
ohom
ish
713,3
35
750,3
58
761,7
34
772,4
28
783,2
24
794,0
90
805,0
15
815,5
47
826,2
28
836,8
26
847,3
26
857,9
39
868,2
97
878,6
22
Spok
ane
471,2
21
489,4
91
494,4
31
499,3
48
504,2
43
509,1
00
513,9
10
518,7
59
523,5
20
528,2
00
532,7
92
537,4
28
541,8
46
546,2
10
Stev
ens
43,53
1 44
,262
44,43
6 44
,636
44,83
4 45
,026
45,21
2 45
,497
45,73
2 45
,967
46,20
2 46
,447
46,75
9 47
,033
Thur
ston
252,2
64
266,2
24
270,9
18
275,1
94
279,5
16
283,8
75
288,2
65
292,0
47
296,0
84
300,0
67
303,9
91
307,9
30
311,6
67
315,4
39
Wah
kiaku
m 3,9
78
3,931
3,9
17
3,909
3,8
99
3,889
3,8
77
3,870
3,8
61
3,851
3,8
41
3,830
3,8
21
3,810
W
alla W
alla
58,78
1 60
,015
60,34
3 60
,690
61,03
1 61
,363
61,68
5 62
,055
62,39
1 62
,719
63,03
9 63
,368
63,73
0 64
,057
Wha
tcom
201,1
40
210,0
50
213,3
03
216,2
28
219,2
09
222,2
35
225,3
07
228,5
14
231,6
67
234,8
14
237,9
51
241,1
38
244,2
86
247,4
18
Whit
man
44,77
6 46
,139
46,47
2 46
,822
47,16
5 47
,501
47,82
6 48
,147
48,45
9 48
,761
49,05
3 49
,346
49,61
0 49
,869
Yakim
a 24
3,231
25
6,341
25
8,730
26
1,462
26
4,150
26
6,780
26
9,347
27
1,956
27
4,512
27
7,037
27
9,530
28
2,057
28
4,652
28
7,148
Notes
: Data
may
be sl
ightly
diffe
rent
from
those
pres
ented
in th
e 5 ye
ar in
terva
ls du
e to r
ound
ing. U
nrou
nded
data
shou
ld no
t be c
onsid
ered
accu
rate
to the
last
digit.
OFM/
Fore
casti
ng | A
ugus
t 201
2
100
OFFICE OF FINANCIAL MANAGEMENT
Proj
ectio
ns o
f the
Tot
al R
esid
ent P
opul
atio
n fo
r the
Gro
wth
Man
agem
ent A
ct
Med
ium
Ser
ies:
201
0 to
204
0 by
Sin
gle
Year
Afte
r 201
5 (c
ont.)
20
28
2029
20
30
2031
20
32
2033
20
34
2035
20
36
2037
20
38
2039
20
40
Was
hingto
n 8,0
13,60
0 8,0
84,53
9 8,1
54,19
3 8,2
22,55
0 8,2
89,81
5 8,3
55,59
2 8,4
20,09
7 8,4
83,62
8 8,5
46,27
8 8,6
08,25
1 8,6
69,66
0 8,7
30,52
6 8,7
90,98
1 Ad
ams
23,76
3 24
,027
24,28
9 24
,580
24,85
7 25
,134
25,41
1 25
,690
25,99
3 26
,296
26,59
9 26
,901
27,20
5 As
otin
22,28
2 22
,300
22,31
3 22
,335
22,34
6 22
,354
22,35
7 22
,358
22,36
4 22
,365
22,36
5 22
,361
22,35
6 Be
nton
218,6
08
221,1
60
223,6
89
226,2
06
228,6
98
231,1
58
233,5
92
236,0
07
238,3
93
240,7
67
243,1
36
245,4
97
247,8
56
Chela
n 83
,674
84,23
6 84
,778
85,28
3 85
,782
86,26
1 86
,721
87,16
8 87
,603
88,02
6 88
,441
88,84
7 89
,246
Clall
am
75,73
1 75
,931
76,11
2 76
,279
76,43
0 76
,564
76,68
1 76
,786
76,89
3 76
,990
77,07
7 77
,154
77,22
4 Cl
ark
525,5
23
531,1
67
536,7
17
541,9
00
547,1
41
552,2
61
557,2
78
562,2
07
566,8
65
571,4
83
576,0
65
580,6
14
585,1
37
Colum
bia
3,926
3,9
11
3,895
3,8
78
3,859
3,8
40
3,820
3,8
00
3,781
3,7
61
3,741
3,7
21
3,700
Co
wlitz
11
3,261
11
3,724
11
4,158
11
4,524
11
4,886
11
5,216
11
5,519
11
5,798
11
6,047
11
6,280
11
6,498
11
6,703
11
6,897
Do
uglas
48
,432
49,01
2 49
,583
50,12
3 50
,668
51,20
6 51
,734
52,25
6 52
,762
53,26
4 53
,765
54,26
4 54
,762
Ferry
7,7
57
7,757
7,7
54
7,757
7,7
54
7,751
7,7
46
7,740
7,7
32
7,723
7,7
14
7,703
7,6
92
Fran
klin
124,1
05
127,1
77
130,2
84
133,3
42
136,4
83
139,6
53
142,8
59
146,1
03
149,3
57
152,6
60
156,0
18
159,4
30
162,9
00
Garfie
ld 2,2
07
2,205
2,2
02
2,198
2,1
93
2,186
2,1
81
2,175
2,1
70
2,163
2,1
57
2,150
2,1
43
Gran
t 11
7,746
11
9,477
12
1,204
12
2,928
12
4,650
12
6,364
12
8,072
12
9,779
13
1,481
13
3,187
13
4,897
13
6,613
13
8,337
Gr
ays H
arbo
r 76
,126
76,28
5 76
,428
76,55
8 76
,672
76,76
5 76
,842
76,90
5 76
,958
77,00
0 77
,032
77,05
5 77
,070
Islan
d 86
,647
87,13
7 87
,621
88,19
8 88
,716
89,22
6 89
,732
90,23
9 90
,848
91,44
8 92
,041
92,62
6 93
,205
Jeffe
rson
34,87
0 35
,262
35,65
7 36
,139
36,58
3 37
,025
37,46
8 37
,914
38,34
9 38
,786
39,22
1 39
,656
40,09
3 Ki
ng
2,246
,017
2,261
,781
2,277
,160
2,292
,847
2,307
,841
2,322
,417
2,336
,632
2,350
,576
2,364
,682
2,378
,541
2,392
,180
2,405
,604
2,418
,850
Kitsa
p 29
6,879
29
9,295
30
1,642
30
3,714
30
5,828
30
7,864
30
9,830
31
1,737
31
3,547
31
5,322
31
7,067
31
8,783
32
0,475
Ki
ttitas
49
,540
50,05
6 50
,567
51,07
4 51
,573
52,06
6 52
,551
53,03
2 53
,518
54,00
1 54
,482
54,96
0 55
,436
Klick
itat
21,36
5 21
,401
21,43
0 21
,449
21,46
9 21
,483
21,49
0 21
,492
21,48
7 21
,479
21,46
8 21
,455
21,43
9 Le
wis
84,32
0 84
,751
85,16
5 85
,588
85,98
5 86
,366
86,73
3 87
,092
87,48
7 87
,870
88,24
4 88
,610
88,96
7 Lin
coln
10,84
8 10
,858
10,86
5 10
,871
10,87
1 10
,869
10,86
7 10
,862
10,85
6 10
,848
10,83
9 10
,829
10,81
7 Ma
son
74,63
4 75
,521
76,40
1 77
,303
78,18
7 79
,059
79,92
4 80
,784
81,61
6 82
,444
83,27
0 84
,095
84,91
9 Ok
anog
an
44,39
1 44
,509
44,61
9 44
,743
44,84
8 44
,945
45,03
9 45
,127
45,25
4 45
,375
45,49
1 45
,601
45,70
7 Pa
cific
21,41
3 21
,456
21,49
5 21
,558
21,60
5 21
,650
21,69
3 21
,736
21,80
3 21
,866
21,92
7 21
,985
22,04
2 Pe
nd O
reille
14
,080
14,10
7 14
,129
14,13
3 14
,143
14,14
9 14
,152
14,14
9 14
,146
14,14
1 14
,134
14,12
6 14
,116
Pier
ce
950,6
09
959,1
96
967,6
01
975,6
77
983,6
80
991,4
87
999,1
19
1,006
,614
1,013
,921
1,021
,137
1,028
,276
1,035
,339
1,042
,341
San J
uan
16,81
7 16
,879
16,93
9 17
,004
17,06
1 17
,115
17,16
6 17
,216
17,26
4 17
,312
17,35
7 17
,401
17,44
3 Sk
agit
141,5
70
143,2
62
144,9
53
146,7
35
148,4
63
150,1
85
151,9
07
153,6
32
155,4
51
157,2
70
159,0
90
160,9
12
162,7
38
Skam
ania
12,28
1 12
,366
12,44
7 12
,526
12,60
3 12
,677
12,74
8 12
,816
12,87
2 12
,927
12,98
0 13
,031
13,08
2 Sn
ohom
ish
888,8
23
898,8
83
908,8
07
918,2
63
927,7
67
937,0
89
946,2
49
955,2
81
963,8
54
972,3
67
980,8
31
989,2
49
997,6
34
Spok
ane
550,4
64
554,5
95
558,6
14
562,4
19
566,1
74
569,8
05
573,3
29
576,7
63
580,1
17
583,4
09
586,6
47
589,8
30
592,9
69
Stev
ens
47,30
2 47
,568
47,83
4 48
,172
48,46
8 48
,761
49,05
0 49
,340
49,66
6 49
,989
50,30
5 50
,619
50,92
9 Th
ursto
n 31
9,161
32
2,822
32
6,426
32
9,782
33
3,189
33
6,525
33
9,797
34
3,019
34
6,059
34
9,078
35
2,077
35
5,061
35
8,031
W
ahkia
kum
3,797
3,7
85
3,772
3,7
64
3,753
3,7
40
3,728
3,7
16
3,708
3,6
98
3,689
3,6
79
3,669
W
alla W
alla
64,37
5 64
,682
64,97
8 65
,292
65,57
9 65
,855
66,12
1 66
,378
66,64
8 66
,911
67,16
5 67
,414
67,65
5 W
hatco
m 25
0,524
25
3,599
25
6,643
25
9,578
26
2,525
26
5,430
26
8,300
27
1,142
27
3,911
27
6,668
27
9,418
28
2,161
28
4,901
W
hitma
n 50
,117
50,35
3 50
,577
50,79
4 51
,000
51,19
5 51
,383
51,56
3 51
,763
51,95
6 52
,145
52,32
6 52
,504
Yakim
a 28
9,615
29
2,046
29
4,445
29
7,036
29
9,485
30
1,896
30
4,276
30
6,636
30
9,052
31
1,443
31
3,811
31
6,161
31
8,494
Notes
: Data
may
be sl
ightly
diffe
rent
from
those
pres
ented
in th
e 5 ye
ar in
terva
ls du
e to r
ound
ing. U
nrou
nded
data
shou
ld no
t be c
onsid
ered
accu
rate
to the
last
digit.
OFM/
Fore
casti
ng | A
ugus
t 201
2
101
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Proj
ectio
ns o
f the
Tot
al R
esid
ent P
opul
atio
n fo
r the
Gro
wth
Man
agem
ent A
ct
Low
Ser
ies:
201
0 to
204
0 by
Sin
gle
Year
Afte
r 201
5
C
ensu
s
20
10
2015
20
16
2017
20
18
2019
20
20
2021
20
22
2023
20
24
2025
20
26
2027
W
ashin
gton
6,724
,540
6,449
,135
6,521
,181
6,545
,400
6,574
,953
6,609
,884
6,650
,247
6,687
,486
6,726
,247
6,764
,872
6,803
,392
6,841
,760
6,874
,869
6,910
,434
Adam
s 18
,728
19,15
1 19
,244
19,33
5 19
,425
19,51
6 19
,606
19,68
1 19
,762
19,84
4 19
,925
20,00
5 20
,082
20,16
1 As
otin
21,62
3 19
,837
19,93
4 19
,875
19,83
4 19
,809
19,80
0 19
,781
19,76
6 19
,750
19,73
3 19
,715
19,68
9 19
,667
Bento
n 17
5,177
16
5,473
16
6,343
16
6,180
16
6,132
16
6,198
16
6,377
16
6,557
16
6,738
16
6,918
16
7,099
16
7,280
16
7,461
16
7,642
Ch
elan
72,45
3 68
,266
69,13
9 69
,372
69,67
6 70
,052
70,49
9 70
,919
71,35
5 71
,786
72,21
3 72
,636
72,96
5 73
,335
Clall
am
71,40
4 68
,000
67,79
1 67
,413
67,05
6 66
,719
66,40
1 66
,076
65,75
6 65
,436
65,11
8 64
,800
64,47
5 64
,156
Clar
k 42
5,363
42
0,372
42
3,803
42
5,570
42
7,523
42
9,665
43
1,998
43
4,209
43
6,484
43
8,744
44
0,985
44
3,210
44
5,072
44
7,094
Co
lumbia
4,0
78
3,902
3,8
87
3,864
3,8
43
3,822
3,8
02
3,782
3,7
62
3,742
3,7
22
3,702
3,6
82
3,662
Co
wlitz
10
2,410
99
,691
99,88
4 99
,806
99,75
7 99
,739
99,75
1 99
,763
99,77
5 99
,787
99,79
9 99
,811
99,82
4 99
,836
Doug
las
38,43
1 35
,627
36,08
9 36
,172
36,29
8 36
,467
36,67
8 36
,894
37,11
0 37
,325
37,54
0 37
,755
37,94
1 38
,140
Ferry
7,5
51
6,913
6,9
43
6,925
6,9
12
6,903
6,9
00
6,887
6,8
79
6,869
6,8
59
6,847
6,8
27
6,811
Fr
ankli
n 78
,163
75,68
6 77
,676
78,75
2 79
,954
81,28
6 82
,753
84,31
8 85
,884
87,48
4 89
,117
90,78
4 92
,503
94,24
5 Ga
rfield
2,266
2,0
59
2,057
2,0
41
2,026
2,0
13
2,001
1,9
89
1,977
1,9
65
1,953
1,9
41
1,929
1,9
16
Gran
t 89
,120
90,39
8 91
,293
91,95
5 92
,649
93,37
6 94
,137
94,91
0 95
,687
96,47
1 97
,263
98,06
2 98
,890
99,71
6 Gr
ays H
arbo
r 72
,797
69,16
3 70
,113
69,63
9 69
,321
69,16
1 69
,159
69,16
0 69
,160
69,16
0 69
,160
69,16
0 69
,160
69,15
9 Isl
and
78,50
6 71
,114
71,43
2 71
,095
70,83
1 70
,638
70,51
6 70
,378
70,24
7 70
,118
69,99
2 69
,866
69,78
6 69
,688
Jeffe
rson
29,87
2 27
,427
27,21
6 27
,320
27,39
0 27
,425
27,42
5 27
,426
27,42
7 27
,427
27,42
7 27
,428
27,42
8 27
,427
King
1,9
31,24
9 1,8
92,01
5 1,9
11,55
8 1,9
20,71
7 1,9
30,97
2 1,9
42,33
5 1,9
54,81
8 1,9
65,12
2 1,9
76,41
5 1,9
87,57
5 1,9
98,60
1 2,0
09,48
9 2,0
18,80
1 2,0
28,82
3 Ki
tsap
251,1
33
232,6
74
234,9
38
235,0
16
235,3
37
235,9
03
236,7
13
237,5
88
238,4
41
239,2
83
240,1
14
240,9
35
241,4
89
242,1
59
Kittit
as
40,91
5 40
,038
40,25
4 40
,324
40,41
1 40
,513
40,63
2 40
,750
40,86
8 40
,987
41,10
6 41
,225
41,34
4 41
,463
Klick
itat
20,31
8 18
,435
18,49
7 18
,402
18,32
5 18
,263
18,21
9 18
,164
18,11
4 18
,062
18,00
9 17
,955
17,88
4 17
,819
Lewi
s 75
,455
72,96
5 73
,292
73,12
8 73
,018
72,96
3 72
,962
72,96
2 72
,962
72,96
3 72
,963
72,96
3 72
,964
72,96
5 Lin
coln
10,57
0 9,9
80
10,02
2 9,9
98
9,982
9,9
74
9,972
9,9
71
9,970
9,9
69
9,968
9,9
67
9,966
9,9
65
Maso
n 60
,699
56,45
0 57
,335
57,57
6 57
,891
58,27
8 58
,741
59,19
8 59
,663
60,13
2 60
,603
61,07
7 61
,554
62,03
5 Ok
anog
an
41,12
0 38
,002
38,00
2 38
,002
38,00
2 38
,002
38,00
2 38
,000
38,00
0 37
,998
37,99
8 37
,997
37,99
8 37
,998
Pacif
ic 20
,920
19,99
9 20
,040
20,02
0 20
,007
20,00
0 20
,000
20,00
1 20
,001
20,00
1 20
,002
20,00
2 20
,002
20,00
2 Pe
nd O
reille
13
,001
11,97
5 12
,084
12,06
9 12
,066
12,07
6 12
,097
12,21
4 12
,097
12,03
2 12
,045
12,11
0 12
,083
12,06
6 Pi
erce
79
5,225
74
9,814
75
9,471
76
2,208
76
5,753
77
0,111
77
5,290
78
1,011
78
6,562
79
2,123
79
7,694
80
3,274
80
7,958
81
3,051
Sa
n Jua
n 15
,769
14,10
0 14
,153
14,06
6 13
,995
13,94
0 13
,899
13,85
6 13
,815
13,77
3 13
,731
13,68
9 13
,644
13,60
1 Sk
agit
116,9
01
109,0
35
110,3
48
110,6
31
111,0
44
111,5
89
112,2
68
113,2
65
114,1
44
115,0
45
115,9
69
116,9
18
117,9
13
118,9
01
Skam
ania
11,06
6 10
,606
10,68
5 10
,700
10,72
1 10
,750
10,78
6 10
,822
10,85
7 10
,893
10,92
9 10
,965
11,00
1 11
,036
Snoh
omish
71
3,335
67
5,033
68
6,890
69
1,427
69
6,786
70
2,980
71
0,024
71
6,432
72
3,197
72
9,950
73
6,691
74
3,417
74
9,502
75
5,921
Sp
okan
e 47
1,221
45
0,827
45
5,838
45
7,434
45
9,406
46
1,754
46
4,483
46
6,990
46
9,609
47
2,200
47
4,763
47
7,297
47
9,301
48
1,536
St
even
s 43
,531
39,26
9 39
,396
39,15
4 38
,958
38,80
6 38
,697
38,64
8 38
,574
38,50
5 38
,441
38,38
1 38
,354
38,31
3 Th
ursto
n 25
2,264
23
8,686
24
3,373
24
5,256
24
7,438
24
9,924
25
2,722
25
4,890
25
7,353
25
9,789
26
2,198
26
4,576
26
6,636
26
8,851
W
ahkia
kum
3,978
3,6
15
3,611
3,5
82
3,556
3,5
33
3,512
3,4
91
3,470
3,4
49
3,429
3,4
08
3,385
3,3
64
Wall
a Wall
a 58
,781
56,82
4 57
,024
57,00
4 57
,008
57,03
7 57
,090
57,14
2 57
,194
57,24
7 57
,300
57,35
2 57
,406
57,45
9 W
hatco
m 20
1,140
19
2,542
19
5,767
19
7,121
19
8,677
20
0,437
20
2,405
20
4,025
20
5,812
20
7,568
20
9,293
21
0,987
21
2,153
21
3,549
W
hitma
n 44
,776
43,37
0 43
,483
43,42
8 43
,391
43,37
3 43
,373
43,37
1 43
,371
43,37
0 43
,370
43,36
9 43
,371
43,37
1 Ya
kima
243,2
31
229,8
02
232,2
76
232,8
23
233,5
82
234,5
54
235,7
39
236,8
43
237,9
89
239,1
32
240,2
70
241,4
05
242,4
46
243,5
31
Notes
: Data
may
be sl
ightly
diffe
rent
from
those
pres
ented
in th
e 5 ye
ar in
terva
ls du
e to r
ound
ing. U
nrou
nded
data
shou
ld no
t be c
onsid
ered
accu
rate
to the
last
digit.
OFM/
Fore
casti
ng | A
ugus
t 201
2
102
OFFICE OF FINANCIAL MANAGEMENT
Proj
ectio
ns o
f the
Tot
al R
esid
ent P
opul
atio
n fo
r the
Gro
wth
Man
agem
ent A
ct
Low
Ser
ies:
201
0 to
204
0 by
Sin
gle
Year
Afte
r 201
5 (c
ont.)
20
28
2029
20
30
2031
20
32
2033
20
34
2035
20
36
2037
20
38
2039
20
40
Was
hingto
n 6,9
45,60
9 6,9
80,38
8 7,0
14,75
7 7,0
42,28
0 7,0
72,90
7 7,1
03,12
0 7,1
32,90
3 7,1
62,26
5 7,1
87,85
4 7,2
13,58
9 7,2
39,48
3 7,2
65,52
2 7,2
91,72
3 Ad
ams
20,24
1 20
,322
20,40
3 20
,499
20,59
0 20
,684
20,77
9 20
,877
20,99
4 21
,112
21,23
0 21
,349
21,46
9 As
otin
19,64
3 19
,618
19,59
1 19
,548
19,51
1 19
,473
19,43
4 19
,394
19,34
6 19
,298
19,25
0 19
,203
19,15
5 Be
nton
167,8
23
168,0
04
168,1
86
168,3
67
168,5
47
168,7
28
168,9
10
169,0
91
169,2
71
169,4
52
169,6
33
169,8
14
169,9
95
Chela
n 73
,696
74,04
9 74
,392
74,62
5 74
,905
75,17
8 75
,441
75,69
7 75
,898
76,09
9 76
,300
76,50
2 76
,705
Clall
am
63,83
7 63
,519
63,20
1 62
,876
62,55
6 62
,237
61,91
8 61
,600
61,27
6 60
,955
60,63
4 60
,316
59,99
9 Cl
ark
449,0
69
450,9
96
452,8
74
454,0
57
455,5
37
456,9
57
458,3
17
459,6
17
460,4
83
461,3
51
462,2
21
463,0
92
463,9
65
Colum
bia
3,642
3,6
22
3,602
3,5
80
3,560
3,5
40
3,519
3,4
99
3,479
3,4
60
3,440
3,4
21
3,402
Co
wlitz
99
,848
99,86
1 99
,873
99,88
2 99
,893
99,90
3 99
,913
99,92
4 99
,938
99,95
1 99
,965
99,97
8 99
,992
Doug
las
38,33
5 38
,527
38,71
6 38
,849
39,00
6 39
,158
39,30
7 39
,451
39,56
7 39
,682
39,79
9 39
,915
40,03
2 Fe
rry
6,794
6,7
76
6,758
6,7
34
6,713
6,6
91
6,668
6,6
46
6,618
6,5
90
6,563
6,5
35
6,508
Fr
ankli
n 96
,018
97,82
4 99
,661
101,4
79
103,3
52
105,2
58
107,1
95
109,1
66
111,1
71
113,2
13
115,2
92
117,4
10
119,5
66
Garfie
ld 1,9
04
1,892
1,8
80
1,868
1,8
56
1,844
1,8
32
1,820
1,8
07
1,794
1,7
81
1,769
1,7
56
Gran
t 10
0,547
10
1,382
10
2,222
10
3,007
10
3,823
10
4,641
10
5,460
10
6,280
10
7,075
10
7,876
10
8,683
10
9,496
11
0,315
Gr
ays H
arbo
r 69
,159
69,15
9 69
,159
69,16
0 69
,160
69,16
1 69
,161
69,16
2 69
,162
69,16
1 69
,161
69,16
0 69
,160
Islan
d 69
,592
69,49
9 69
,410
69,32
8 69
,243
69,16
3 69
,088
69,01
8 69
,004
68,99
0 68
,977
68,96
3 68
,949
Jeffe
rson
27,42
7 27
,427
27,42
6 27
,426
27,42
6 27
,426
27,42
6 27
,426
27,42
6 27
,427
27,42
7 27
,428
27,42
8 Ki
ng
2,038
,718
2,048
,485
2,058
,121
2,065
,938
2,074
,550
2,083
,042
2,091
,413
2,099
,662
2,106
,953
2,114
,269
2,121
,610
2,128
,977
2,136
,369
Kitsa
p 24
2,789
24
3,379
24
3,930
24
3,974
24
4,253
24
4,487
24
4,677
24
4,823
24
4,752
24
4,681
24
4,610
24
4,539
24
4,468
Ki
ttitas
41
,583
41,70
2 41
,822
41,94
1 42
,060
42,17
9 42
,299
42,41
9 42
,537
42,65
4 42
,773
42,89
1 43
,010
Klick
itat
17,75
3 17
,685
17,61
4 17
,514
17,42
5 17
,335
17,24
2 17
,147
17,03
1 16
,915
16,80
1 16
,687
16,57
4 Le
wis
72,96
6 72
,966
72,96
7 72
,965
72,96
4 72
,963
72,96
2 72
,961
72,96
2 72
,963
72,96
3 72
,964
72,96
5 Lin
coln
9,964
9,9
63
9,962
9,9
62
9,961
9,9
61
9,960
9,9
60
9,959
9,9
57
9,956
9,9
54
9,953
Ma
son
62,51
7 63
,001
63,48
7 63
,943
64,41
6 64
,886
65,35
5 65
,822
66,23
7 66
,655
67,07
6 67
,499
67,92
5 Ok
anog
an
37,99
8 37
,999
37,99
9 37
,999
37,99
9 37
,999
37,99
9 37
,999
37,99
9 37
,999
37,99
9 37
,999
37,99
9 Pa
cific
20,00
1 20
,001
20,00
1 20
,001
20,00
1 20
,001
20,00
1 20
,001
20,00
1 20
,000
20,00
0 19
,999
19,99
9 Pe
nd O
reille
12
,046
12,02
4 12
,000
11,94
6 11
,904
11,86
0 11
,814
11,76
7 11
,710
11,65
4 11
,598
11,54
2 11
,487
Pier
ce
818,0
73
823,0
19
827,8
90
831,6
56
835,9
06
840,0
83
844,1
84
848,2
09
851,6
40
855,0
85
858,5
44
862,0
17
865,5
04
San J
uan
13,55
6 13
,511
13,46
5 13
,406
13,35
3 13
,298
13,24
3 13
,187
13,12
3 13
,059
12,99
6 12
,933
12,87
0 Sk
agit
119,8
97
120,9
03
121,9
18
122,9
15
123,9
32
124,9
58
125,9
93
127,0
38
128,1
23
129,2
18
130,3
22
131,4
35
132,5
58
Skam
ania
11,07
2 11
,108
11,14
4 11
,181
11,21
7 11
,254
11,29
1 11
,328
11,36
3 11
,398
11,43
4 11
,469
11,50
5 Sn
ohom
ish
762,2
99
768,6
32
774,9
20
780,0
87
785,7
69
791,3
82
796,9
22
802,3
86
807,0
65
811,7
71
816,5
04
821,2
65
826,0
54
Spok
ane
483,7
18
485,8
47
487,9
20
489,2
98
490,9
72
492,5
94
494,1
65
495,6
84
496,8
66
498,0
50
499,2
37
500,4
27
501,6
20
Stev
ens
38,27
5 38
,239
38,20
7 38
,201
38,18
3 38
,167
38,15
4 38
,143
38,14
6 38
,148
38,15
1 38
,153
38,15
6 Th
ursto
n 27
1,042
27
3,209
27
5,350
27
7,026
27
8,911
28
0,766
28
2,589
28
4,378
28
5,876
28
7,383
28
8,897
29
0,419
29
1,949
W
ahkia
kum
3,343
3,3
22
3,301
3,2
82
3,262
3,2
41
3,222
3,2
02
3,179
3,1
57
3,135
3,1
13
3,091
W
alla W
alla
57,51
3 57
,566
57,62
0 57
,673
57,72
6 57
,779
57,83
2 57
,885
57,93
9 57
,992
58,04
6 58
,099
58,15
3 W
hatco
m 21
4,926
21
6,286
21
7,625
21
8,928
22
0,258
22
1,591
22
2,927
22
4,267
22
5,580
22
6,900
22
8,228
22
9,563
23
0,907
W
hitma
n 43
,371
43,37
1 43
,372
43,37
2 43
,372
43,37
2 43
,371
43,37
1 43
,371
43,37
1 43
,372
43,37
2 43
,372
Yakim
a 24
4,614
24
5,693
24
6,768
24
7,787
24
8,835
24
9,880
25
0,920
25
1,958
25
2,927
25
3,899
25
4,875
25
5,855
25
6,839
Notes
: Data
may
be sl
ightly
diffe
rent
from
those
pres
ented
in th
e 5 ye
ar in
terva
ls du
e to r
ound
ing. U
nrou
nded
data
shou
ld no
t be c
onsid
ered
accu
rate
to the
last
digit.
OFM/
Fore
casti
ng | A
ugus
t 201
2
103
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Appendix A: Data Concepts Projections in this publication assume generally accepted demographic definitions and concepts used by the U.S. Census Bureau. This section presents the most important ones. Reference date. Federal censuses since 1930 have a reference date of April 1. All estimate, vital statistics, and projection data in this publication are based on that date. An April 1 reference date is used because it is considered the time of the year when most people are living at their “usual residence.” Usual residence is an important population count concept and discussed in more detail under resident population. Age ranges. These are based on a person’s age as of April 1. For example, the 5-9 age group includes everyone who has passed their fifth birthday, but not their 10th. Resident population. Most census data and the data here deal with the population that usually resides in an area. People are counted where they usually live, not where they happen to be on April 1. For example, a trucker, businessman, or holiday traveler in a motel on April 1 would be reported as living wherever they usually live, not at the location of their motel. On the other hand, some people have no usual place of residence, so the census reports them as living where they were found by enumerators. Generally, “residence” refers to where one spends the largest part of the year. Resident population for an area includes military personnel, military dependents, persons in correctional facilities, persons living in nursing homes, and other long-term care facilities. College students are considered residents of the place where they live while attending school. This is why student populations show up so dramatically in the age structure of the population in Kittitas and Whitman Counties. Residency is an important issue for planners when the matter of seasonal population and seasonal housing arises. Seasonal populations, such as vacationers or migrant farm workers, are counted as residents of the place they consider their usual home. Yet, these populations absorb a considerable amount of the housing in counties where they live part of the year. Some seasonal housing is for migrant workers. Other seasonal housing is recreational. Examples include vacation homes, timeshare condominiums, and beach, hunting, or ski cabins. In 2000, seasonal housing represented eight percent or more of the total housing in seventeen Washington counties. In Mason, Pacific, Pend Oreille, and San Juan Counties, seasonal housing was 20 to 30 percent of total housing. Seasonal housing implies seasonal population changes. Planners need to deal with the environmental impacts of seasonal housing and the service impacts of seasonal populations such as need for police and fire protection, and infrastructure development and maintenance. Furthermore, many seasonal units are potential year-round housing. Some people sell their city houses upon retirement and move to their rustic hideaway.
104
OFFICE OF FINANCIAL MANAGEMENT
Appendix B: Historical Data Tables showing historical census results, population estimates, components of change, growth rates, and so forth are included as reference material for users interested in doing analyses of the projections. These data were used both by OFM staff and county officials and planners to help evaluate preliminary versions of the projections. Historical and Projected Population for Growth Management and Other Purposes Medium Series: History 1960 to 2010 for Projections from 2015 to 2040
1960 1965 1970 1975 1980 1985 1990 1995 2000
Washington 2,853,214 3,065,000 3,413,250 3,567,890 4,132,353 4,415,785 4,866,659 5,396,569 5,894,143 Adams 9,929 10,400 12,014 13,100 13,267 13,418 13,603 15,030 16,428 Asotin 12,909 12,900 13,799 14,800 16,823 17,154 17,605 18,937 20,551 Benton 62,070 62,500 67,540 74,500 109,444 108,452 112,560 128,359 142,475 Chelan 40,744 39,800 41,103 40,200 45,061 49,250 52,250 60,079 66,616 Clallam 30,022 31,900 34,770 41,100 51,648 52,465 56,210 60,548 64,179 Clark 93,809 108,500 128,454 156,800 192,227 206,744 238,053 286,804 345,238 Columbia 4,569 4,300 4,439 4,200 4,057 4,046 4,024 4,051 4,064 Cowlitz 57,801 62,500 68,616 72,100 79,548 79,259 82,119 87,232 92,948 Douglas 14,890 15,300 16,787 18,300 22,144 23,206 26,195 29,312 32,603 Ferry 3,889 3,800 3,655 4,600 5,811 6,016 6,295 6,812 7,260 Franklin 23,342 24,200 25,816 27,100 35,025 36,584 37,473 42,516 49,347 Garfield 2,976 2,800 2,911 2,800 2,468 2,418 2,248 2,322 2,397 Grant 46,477 44,500 41,881 43,200 48,522 50,805 54,798 64,099 74,698 Grays Harbor 54,465 56,400 59,553 60,400 66,314 63,870 64,175 65,820 67,194 Island 19,638 22,400 27,011 34,700 44,048 49,661 60,195 66,378 71,558 Jefferson 9,639 9,800 10,661 11,800 15,965 17,873 20,406 23,950 26,299 King 935,014 1,024,000 1,159,375 1,155,300 1,269,898 1,356,552 1,507,305 1,625,241 1,737,046 Kitsap 84,176 89,800 101,732 116,090 147,152 168,709 189,731 218,308 231,969 Kittitas 20,467 22,400 25,039 24,700 24,877 25,407 26,725 29,791 33,362 Klickitat 13,455 12,900 12,138 13,400 15,822 16,504 16,616 17,603 19,161 Lewis 41,858 42,900 45,467 48,700 56,025 56,592 59,358 63,835 68,600 Lincoln 10,919 10,100 9,572 9,500 9,604 9,233 8,864 9,330 10,184 Mason 16,251 17,800 20,918 23,500 31,184 35,125 38,341 44,128 49,405 Okanogan 25,520 25,100 25,867 26,800 30,663 32,687 33,350 36,702 39,564 Pacific 14,674 14,700 15,796 15,800 17,237 17,764 18,882 19,990 20,984 Pend Oreille 6,914 6,100 6,025 7,600 8,580 8,744 8,915 10,267 11,732 Pierce 321,590 358,600 412,344 421,600 485,667 529,753 586,203 649,284 700,818 San Juan 2,872 3,100 3,856 5,400 7,838 8,904 10,035 12,747 14,077 Skagit 51,350 50,900 52,381 54,100 64,138 69,472 79,545 92,627 102,979 Skamania 5,207 5,500 5,845 6,300 7,919 7,946 8,289 9,057 9,872 Snohomish 172,199 212,700 265,236 270,100 337,720 381,094 465,628 531,704 606,024 Spokane 278,333 277,200 287,487 304,300 341,835 351,417 361,333 391,318 417,939 Stevens 17,884 17,500 17,405 21,200 28,979 30,667 30,948 35,523 40,066 Thurston 55,049 64,400 76,894 90,500 124,264 139,738 161,238 186,419 207,355 Wahkiakum 3,426 3,400 3,592 3,700 3,832 3,505 3,327 3,546 3,824 Walla Walla 42,195 41,400 42,176 43,500 47,435 48,287 48,439 51,461 55,180 Whatcom 70,317 75,100 81,983 91,700 106,701 115,483 127,780 149,942 166,826 Whitman 31,263 34,000 37,900 38,900 40,103 39,512 38,775 39,451 40,740 Yakima 145,112 143,400 145,212 155,500 172,508 181,469 188,823 206,046 222,581
Note: Unrounded data should not be considered accurate to the last digit. OFM/Forecasting | August 2012
105
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Historical and Projected Population for Growth Management and Other Purposes Medium Series: History 1960 to 2010 for Projections from 2015 to 2040 (cont.)
2005 2010 2015 2020 2025 2030 2035 2040
Washington 6,298,816 6,724,540 7,022,200 7,411,977 7,793,173 8,154,193 8,483,628 8,790,981 Adams 17,643 18,728 20,257 21,640 22,964 24,289 25,690 27,205 Asotin 20,939 21,623 21,818 22,033 22,196 22,313 22,358 22,356 Benton 159,286 175,177 184,882 197,806 210,803 223,689 236,007 247,856 Chelan 68,963 72,453 75,180 78,586 81,885 84,778 87,168 89,246 Clallam 67,672 71,404 71,868 73,616 75,022 76,112 76,786 77,224 Clark 394,600 425,363 447,201 477,884 508,124 536,717 562,207 585,137 Columbia 4,135 4,078 4,047 4,013 3,968 3,895 3,800 3,700 Cowlitz 97,673 102,410 105,130 108,588 111,706 114,158 115,798 116,897 Douglas 34,466 38,431 40,603 43,619 46,662 49,583 52,256 54,762 Ferry 7,405 7,551 7,619 7,706 7,751 7,754 7,740 7,692 Franklin 62,572 78,163 87,755 100,926 115,142 130,284 146,103 162,900 Garfield 2,315 2,266 2,238 2,220 2,210 2,202 2,175 2,143 Grant 80,121 89,120 95,822 104,078 112,525 121,204 129,779 138,337 Grays Harbor 70,812 72,797 73,575 74,408 75,529 76,428 76,905 77,070 Island 75,951 78,506 80,337 82,735 85,073 87,621 90,239 93,205 Jefferson 28,356 29,872 30,469 32,017 33,678 35,657 37,914 40,093 King 1,814,999 1,931,249 2,012,782 2,108,814 2,196,202 2,277,160 2,350,576 2,418,850 Kitsap 239,819 251,133 262,032 275,546 289,265 301,642 311,737 320,475 Kittitas 37,660 40,915 42,592 45,255 47,949 50,567 53,032 55,436 Klickitat 19,753 20,318 20,606 20,943 21,225 21,430 21,492 21,439 Lewis 71,771 75,455 77,621 80,385 82,924 85,165 87,092 88,967 Lincoln 10,367 10,570 10,616 10,707 10,800 10,865 10,862 10,817 Mason 54,739 60,699 63,203 67,545 71,929 76,401 80,784 84,919 Okanogan 40,267 41,120 42,230 43,163 43,978 44,619 45,127 45,707 Pacific 20,675 20,920 20,860 20,990 21,261 21,495 21,736 22,042 Pend Oreille 12,356 13,001 13,289 13,692 13,977 14,129 14,149 14,116 Pierce 756,919 795,225 831,944 876,565 923,912 967,601 1,006,614 1,042,341 San Juan 15,180 15,769 15,907 16,256 16,606 16,939 17,216 17,443 Skagit 109,977 116,901 121,624 128,249 136,410 144,953 153,632 162,738 Skamania 10,515 11,066 11,282 11,548 12,014 12,447 12,816 13,082 Snohomish 661,346 713,335 750,358 805,015 857,939 908,807 955,281 997,634 Spokane 438,249 471,221 489,491 513,910 537,428 558,614 576,763 592,969 Stevens 41,792 43,531 44,262 45,212 46,447 47,834 49,340 50,929 Thurston 229,286 252,264 266,224 288,265 307,930 326,426 343,019 358,031 Wahkiakum 3,867 3,978 3,931 3,877 3,830 3,772 3,716 3,669 Walla Walla 57,005 58,781 60,015 61,685 63,368 64,978 66,378 67,655 Whatcom 184,965 201,140 210,050 225,307 241,138 256,643 271,142 284,901 Whitman 42,498 44,776 46,139 47,826 49,346 50,577 51,563 52,504 Yakima 231,902 243,231 256,341 269,347 282,057 294,445 306,636 318,494
Note: Unrounded data should not be considered accurate to the last digit. OFM/Forecasting | August 2012
106
OFFICE OF FINANCIAL MANAGEMENT
Historical and Projected Net Migration for Growth Management and Other Purposes Medium Series: History 1960 to 2010, Projections 2015 to 2040
1960-65 1965-70 1970-75 1975-80 1980-85 1985-90 1990-95 1995-00
Washington 36,630 217,905 46,357 427,242 101,529 267,625 328,454 316,328 Adams -404 967 264 -911 -914 -602 417 389 Asotin -522 633 755 1,707 -171 71 1,085 1,418 Benton -4,894 1,734 4,040 29,687 -8,597 -1,801 9,926 8,148 Chelan -2,599 362 -1,341 3,921 2,655 1,068 5,674 4,399 Clallam 183 2,014 5,318 9,038 -700 2,919 4,243 4,253 Clark 9,188 14,989 22,551 27,442 5,334 21,814 37,180 44,397 Columbia -370 110 -202 -196 -38 -17 41 61 Cowlitz 943 2,814 449 4,275 -3,214 308 2,699 3,996 Douglas -389 986 954 2,871 7 2,115 1,883 2,209 Ferry -295 -277 744 965 -126 95 372 388 Franklin -967 265 -189 5,261 -1,688 -1,693 1,487 3,080 Garfield -291 61 -158 -392 -103 -139 139 125 Grant -7,584 -4,909 -870 2,487 -646 1,302 5,943 6,534 Grays Harbor -204 1,576 -506 3,912 -4,591 -918 736 824 Island 406 2,719 5,700 7,050 3,076 7,926 3,162 2,964 Jefferson -231 669 1,072 3,883 1,567 2,434 3,470 2,644 King 31,231 88,469 -31,056 86,710 42,639 98,064 60,039 60,362 Kitsap 1,315 8,496 10,807 25,620 13,425 12,557 18,499 5,935 Kittitas 1,015 1,992 -930 -357 -120 878 2,591 3,091 Klickitat -1,377 -1,171 879 1,785 11 -302 598 1,163 Lewis -163 1,674 2,188 5,442 -1,428 1,462 3,379 3,892 Lincoln -1,215 -603 -99 -37 -486 -364 482 882 Mason 833 2,595 2,111 6,863 2,809 2,553 5,250 5,030 Okanogan -1,584 173 165 2,783 476 -358 2,144 1,924 Pacific -203 1,020 -8 1,241 369 1,212 1,261 1,372 Pend Oreille -1,139 -246 1,361 636 -95 -30 1,121 1,351 Pierce 12,561 34,009 -7,951 41,799 16,144 28,018 34,618 27,639 San Juan 286 808 1,596 2,366 939 956 2,656 1,321 Skagit -2,522 247 666 8,491 3,066 8,124 10,560 8,074 Skamania -36 160 228 1,284 -377 59 595 655 Snohomish 27,666 40,499 -6,598 55,347 24,586 62,379 41,072 51,295 Spokane -16,370 1,938 7,375 26,137 -3,784 -1,744 18,086 16,454 Stevens -966 -468 3,261 6,603 206 -692 3,877 3,848 Thurston 5,414 9,675 10,481 29,359 9,387 15,863 19,261 16,009 Wahkiakum -125 142 39 16 -348 -172 248 329 Walla Walla -2,398 2 1,054 3,170 -357 -554 1,997 2,738 Whatcom 2,263 5,157 7,443 11,697 4,569 8,595 17,838 12,858 Whitman 772 2,502 -199 -22 -1,946 -1,668 -327 303 Yakima -10,598 -3,878 4,963 9,309 -7 -2,093 4,152 3,974
Note: Unrounded data should not be considered accurate to the last digit. OFM/Forecasting | August 2012
107
WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Historical and Projected Net Migration for Growth Management and Other Purposes Medium Series: History 1960 to 2010, Projections 2015 to 2040 (cont.)
2000-05 2005-10 2010-15 2015-20 2020-25 2025-30 2030-35 2035-40
Washington 227,982 222,154 104,909 210,000 217,000 225,000 225,000 225,000 Adams 28 -449 -154 -379 -475 -559 -638 -702 Asotin 148 572 246 483 602 711 810 905 Benton 11,055 9,627 3,253 6,569 6,803 7,054 7,037 7,011 Chelan 572 1,465 898 1,544 1,487 1,470 1,431 1,432 Clallam 4,476 4,977 1,887 3,548 3,536 3,605 3,551 3,544 Clark 34,817 15,571 9,187 17,871 17,658 18,002 17,859 17,923 Columbia 130 -18 31 40 47 57 60 61 Cowlitz 3,327 3,196 1,105 1,924 1,849 1,851 1,801 1,802 Douglas 920 2,553 940 1,761 1,749 1,771 1,742 1,742 Ferry 75 186 133 199 226 238 270 265 Franklin 8,497 9,215 2,828 5,766 6,003 6,255 6,222 6,126 Garfield -34 -4 19 26 25 33 34 39 Grant 1,206 4,050 1,589 3,222 3,338 3,451 3,424 3,394 Grays Harbor 3,565 1,472 372 801 1,224 1,353 1,310 1,296 Island 2,541 865 924 2,048 2,535 3,243 3,667 4,103 Jefferson 2,438 2,044 1,500 2,713 3,010 3,597 4,170 4,244 King 23,963 51,588 19,052 41,006 38,167 37,024 35,984 35,697 Kitsap 1,907 5,820 5,410 8,356 9,788 10,302 10,140 10,091 Kittitas 3,731 2,616 1,072 2,018 2,023 2,058 2,033 2,032 Klickitat 281 322 198 403 484 576 612 609 Lewis 2,719 2,702 1,078 1,952 1,909 1,932 1,881 1,896 Lincoln 264 298 106 185 182 175 167 170 Mason 5,145 5,628 2,265 4,493 4,811 5,159 5,332 5,310 Okanogan 77 -97 118 214 395 491 561 648 Pacific 230 691 347 691 975 1,057 1,137 1,221 Pend Oreille 680 637 280 467 441 437 428 418 Pierce 32,325 10,114 10,050 18,294 22,351 23,022 22,639 22,500 San Juan 1,201 700 442 836 1,040 1,152 1,236 1,258 Skagit 4,962 4,539 2,458 4,810 6,889 7,928 8,776 9,629 Skamania 478 381 156 265 512 551 588 579 Snohomish 32,619 26,881 14,755 32,528 32,486 34,526 34,578 34,097 Spokane 11,275 22,284 7,416 14,381 14,343 14,647 14,441 14,464 Stevens 1,335 1,466 699 1,235 1,738 2,028 2,261 2,426 Thurston 17,268 17,378 8,456 17,028 15,333 15,555 15,058 14,502 Wahkiakum 155 198 63 113 163 184 203 211 Walla Walla 947 1,123 465 829 802 812 790 792 Whatcom 14,475 11,975 5,313 11,814 12,873 13,727 14,020 14,028 Whitman 870 1,260 345 660 663 676 672 671 Yakima -2,686 -1,672 -393 -714 -985 -1,151 -1,287 -1,434
Note: Unrounded data should not be considered accurate to the last digit. OFM/Forecasting | August 2012
108
OFFICE OF FINANCIAL MANAGEMENT
Appendix C: Population Age 65 and Over Population Age 65 and Over Medium Series: History 2010, Projections 2015 to 2040
Census Projections
2010 2015 2020 2025 2030 2035 2040
Washington 827,677 989,124 1,210,895 1,449,119 1,654,289 1,774,401 1,857,527 Adams 1,915 2,044 2,264 2,505 2,700 2,838 3,034 Asotin 4,172 4,879 5,713 6,441 6,985 6,985 6,815 Benton 20,586 24,797 30,642 36,394 41,314 43,850 45,651 Chelan 11,175 12,803 15,509 18,493 20,769 21,705 22,029 Clallam 17,189 18,600 21,311 24,213 25,677 25,340 24,596 Clark 48,710 60,822 76,033 91,612 106,363 116,716 125,863 Columbia 937 1,095 1,225 1,315 1,396 1,317 1,214 Cowlitz 15,805 18,591 22,054 25,804 28,469 29,464 29,835 Douglas 5,443 6,519 7,962 9,480 10,769 11,529 12,157 Ferry 1,428 1,746 2,183 2,423 2,509 2,386 2,230 Franklin 5,696 7,077 9,244 11,492 13,794 16,186 19,282 Garfield 506 533 614 670 701 649 618 Grant 10,531 12,406 14,961 17,872 20,614 22,584 24,723 Grays Harbor 11,849 13,680 15,949 18,414 19,970 20,106 19,782 Island 14,439 16,951 19,847 22,579 24,567 25,058 24,340 Jefferson 7,842 9,428 11,284 13,151 14,179 14,264 13,828 King 210,679 252,100 307,039 365,051 416,445 451,560 477,754 Kitsap 33,296 42,450 53,818 64,814 73,610 77,058 77,458 Kittitas 5,212 6,034 7,360 8,829 9,885 10,334 10,638 Klickitat 3,625 4,584 5,739 6,524 6,938 6,888 6,747 Lewis 13,076 14,558 16,527 18,814 20,458 20,711 20,446 Lincoln 2,197 2,495 2,822 3,207 3,277 3,141 2,889 Mason 11,112 13,013 15,964 19,166 21,797 22,747 23,172 Okanogan 7,070 8,761 10,536 11,985 12,667 12,491 12,097 Pacific 5,183 5,826 6,679 7,341 7,552 7,389 6,914 Pend Oreille 2,485 3,169 3,944 4,533 4,846 4,720 4,473 Pierce 87,785 103,731 127,147 157,687 185,413 203,474 215,807 San Juan 3,657 4,693 5,684 6,319 6,520 6,311 6,013 Skagit 18,876 22,548 27,682 33,107 37,575 40,025 41,606 Skamania 1,596 1,990 2,612 3,183 3,616 3,685 3,664 Snohomish 73,544 90,203 116,172 147,831 178,728 199,920 215,336 Spokane 60,969 71,611 87,302 103,887 118,007 124,248 127,847 Stevens 7,516 9,388 11,386 13,201 14,067 14,051 13,748 Thurston 32,764 39,940 49,971 59,426 67,252 72,179 76,368 Wahkiakum 1,015 1,302 1,507 1,562 1,595 1,509 1,386 Walla Walla 8,778 9,485 10,657 11,973 12,783 12,868 12,791 Whatcom 26,640 32,426 40,387 47,915 54,553 58,614 61,629 Whitman 4,257 4,691 5,521 6,451 7,074 7,331 7,444 Yakima 28,122 32,155 37,644 43,455 48,855 52,170 55,303
Note: Unrounded data should not be considered accurate to the last digit.
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WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Population Age 65 and Over as a Percent of Total County Population Medium Series: History 2010 and Projections from 2015 to 2040
Census Projections
2010 2015 2020 2025 2030 2035 2040
Washington 12.31 14.09 16.34 18.59 20.29 20.92 21.13 Adams 10.23 10.09 10.46 10.91 11.12 11.05 11.15 Asotin 19.29 22.36 25.93 29.02 31.30 31.24 30.48 Benton 11.75 13.41 15.49 17.26 18.47 18.58 18.42 Chelan 15.42 17.03 19.74 22.58 24.50 24.90 24.68 Clallam 24.07 25.88 28.95 32.27 33.74 33.00 31.85 Clark 11.45 13.60 15.91 18.03 19.82 20.76 21.51 Columbia 22.98 27.06 30.53 33.14 35.84 34.66 32.81 Cowlitz 15.43 17.68 20.31 23.10 24.94 25.44 25.52 Douglas 14.16 16.06 18.25 20.32 21.72 22.06 22.20 Ferry 18.91 22.92 28.33 31.26 32.36 30.83 28.99 Franklin 7.29 8.06 9.16 9.98 10.59 11.08 11.84 Garfield 22.33 23.82 27.66 30.32 31.83 29.84 28.84 Grant 11.82 12.95 14.37 15.88 17.01 17.40 17.87 Grays Harbor 16.28 18.59 21.43 24.38 26.13 26.14 25.67 Island 18.39 21.10 23.99 26.54 28.04 27.77 26.11 Jefferson 26.25 30.94 35.24 39.05 39.76 37.62 34.49 King 10.91 12.52 14.56 16.62 18.29 19.21 19.75 Kitsap 13.26 16.20 19.53 22.41 24.40 24.72 24.17 Kittitas 12.74 14.17 16.26 18.41 19.55 19.49 19.19 Klickitat 17.84 22.25 27.40 30.74 32.38 32.05 31.47 Lewis 17.33 18.76 20.56 22.69 24.02 23.78 22.98 Lincoln 20.79 23.50 26.36 29.69 30.16 28.92 26.71 Mason 18.31 20.59 23.63 26.65 28.53 28.16 27.29 Okanogan 17.19 20.75 24.41 27.25 28.39 27.68 26.47 Pacific 24.78 27.93 31.82 34.53 35.13 33.99 31.37 Pend Oreille 19.11 23.85 28.81 32.43 34.30 33.36 31.69 Pierce 11.04 12.47 14.51 17.07 19.16 20.21 20.70 San Juan 23.19 29.50 34.97 38.05 38.49 36.66 34.47 Skagit 16.15 18.54 21.58 24.27 25.92 26.05 25.57 Skamania 14.42 17.64 22.62 26.49 29.05 28.75 28.01 Snohomish 10.31 12.02 14.43 17.23 19.67 20.93 21.58 Spokane 12.94 14.63 16.99 19.33 21.12 21.54 21.56 Stevens 17.27 21.21 25.18 28.42 29.41 28.48 26.99 Thurston 12.99 15.00 17.34 19.30 20.60 21.04 21.33 Wahkiakum 25.52 33.12 38.87 40.78 42.29 40.61 37.78 Walla Walla 14.93 15.80 17.28 18.89 19.67 19.39 18.91 Whatcom 13.24 15.44 17.93 19.87 21.26 21.62 21.63 Whitman 9.51 10.17 11.54 13.07 13.99 14.22 14.18 Yakima 11.56 12.54 13.98 15.41 16.59 17.01 17.36
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OFFICE OF FINANCIAL MANAGEMENT
Appendix D: RCW 43.62.035 Determining Population – Projections The Office of Financial Management (OFM) shall determine the population of each county of the state annually as of April 1 of each year and on or before July 1 of each year shall file a certificate with the Office of the Secretary of State (SOS) showing its determination of the population for each county. OFM also shall determine the percentage increase in population for each county over the preceding ten-year period, as of April 1, and shall file a certificate with the SOS by July 1 showing its determination. At least once every five years or upon the availability of decennial census data, whichever is later, the OFM shall prepare twenty-year growth management planning population projections required by RCW 36.70A.110 for each county that adopts a comprehensive plan under RCW 36.70A.040 and shall review these projections with such counties and the cities in those counties before final adoption. The county and its cities may provide to the office such information as they deem relevant to the office's projection, and the office shall consider and comment on such information before adoption. Each projection shall be expressed as a reasonable range developed within the standard state high and low projection. The middle range shall represent the office's estimate of the most likely population projection for the county. If any city or county believes that a projection will not accurately reflect actual population growth in a county, it may petition the office to revise the projection accordingly. The office shall complete the first set of ranges for every county by December 31, 1995. A comprehensive plan adopted or amended before December 31, 1995, shall not be considered to be in noncompliance with the twenty-year growth management planning population projection if the projection used in the comprehensive plan is in compliance with the range later adopted under this section. [1997 c 429 § 26; 1995 c 162 § 1; 1991 sp.s. c 32 § 30; 1990 1st ex.s. c 17 § 32.] NOTES: Severability -- 1997 c 429: See note following RCW 36.70A.3201. Effective date -- 1995 c 162: "This act is necessary for the immediate preservation of the public peace, health, or safety, or support of the state government and its existing public institutions, and shall take effect immediately [April 27, 1995]." [1995 c 162 § 2.] Section headings not law -- 1991 sp.s. c 32: See RCW 36.70A.902. Severability -- Part, section headings not law -- 1990 1st ex.s. c 17: See RCW 36.70A.900 and 36.70A.901.
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WASHINGTON STATE COUNTY POPULATION PROJECTIONS
Washington state office of financial ManageMent
insurance Building • Po Box 43113olyMPia, Wa 98504-3113 • (360) 902-0555 • fax (360) 664-2832