41
Dissemination and Communication of Gender Statistics: Republic of Moldova Nadejda Cojocari, National Bureau of Statistics, Republic of Moldova

Dissemination and Communication - Homepage | UNECE · 2018. 5. 24. · Nadejda Cojocari, National Bureau of Statistics, Republic of Moldova . Part A. i) National context for gender

  • Upload
    others

  • View
    1

  • Download
    0

Embed Size (px)

Citation preview

  • Dissemination and Communication of Gender Statistics: Republic of Moldova

    Nadejda Cojocari, National Bureau of Statistics, Republic of Moldova

  • Part A. i) National context for gender statistics

    ii) Dissemination and communication strategy in gender statistics

    iii) Different products = different dissemination channels = different users iv) Assessing users’ needs

    v) The impact of gender statistics products

    Part B. Presenting gender statistics

    Content

  • i) National context for gender statistics

    Law no. 5 on ensuring equal opportunities between men and women, 2006 Article 22. Gender statistics (1) The National Bureau of Statistics shall collect, process and generalize statistical information disaggregated by sex. (2) The central and local public administration authorities, parties, other social-political organizations, legal entities and individual carrying out entrepreneurial activity shall submit to the National Bureau of Statistics the necessary information disaggregated by sex. 2. Data collection for monitoring national strategies and international treaties to which RM is part of: - National Strategy on equality between women and men, 2017-2021 - National Strategy on Preventing and Combating Violence against Women and Domestic Violence, 2018-2023 - CEDAW: The Convention on the elimination of all forms of discrimination against women - Convention on the rights of persons with disabilities (article 6 on women with disabilities) - Agenda 2030 (SDG 5 + other SDGs): requires a large amount of high quality, timely and disaggregated data as the necessary means of addressing all groups of the population and ensuring that no one is left behind.

  • "Dissemination of statistical information and access to all statistical information, which according to the fundamental principles of official statistics, namely the principle of confidentiality provided in the European Statistics Code of Practice, complements the statistical production process and assures the fulfillment of the statistics mission, namely making available to all categories of users objective, credible and timely statistical data necessary for decison making policies, research, forecasting and general information of society“.

    ii) Dissemination and communication strategy- important element in the implementation of the National Statistical

    System Development Strategy 2016-2020

    Mission and vision

    Communication Strategy

    Communication Plans

  • Dissemination and communication strategy in gender statistics

    Dissemination of gender statistics should be a part of the statistical agency’s strategy

    According to the National Development Strategy 2016-2020, one of the main priority is “improvement of disaggregation of the socio-economic indicators (national indicators localized for the reporting of SDGs, gender statistics, regional statistics)”

    Effective dissemination strategy

    To ensure that gender statistics are not only produced, but are fully utilised, and they continue to be produced and improved in the long term

    Engage with users Dissemination strategy involves to engage effectively with different target groups of data users and to deliver the information to those who need it, in the format that they need it, and when they need it Not only should data on gender statistics be disseminated, but metadata as well.

  • Statistical data are designed to meet the needs of a broad spectrum of users: public administration authorities, business and academic circles, NGOs, Media, general public, partners, etc. The basic task in the field of dissemination of statistical information is the orientation of statistical products towards the user by: improving the satisfaction of the growing information requirements diversification of statistical information improving the dissemination of statistical information and the

    development of statistics as a whole - requires effective collaboration between producers and users of statistical data

    improving user-producer dialogue.

    iii) Different users=different products = different dissemination channels

  • Official website www.statistica.md (all types of users, from beginner to advanced)

    Mass-media (simple language) Social media (friendly language) Meetings and events

    User advisory groups -Annual consultation board in the context of revision NBS work plan -Inter-ministerial working group coordinating the implementation process of production and dissemination of gender statistics, namely the gender focal points Workshop and seminars -Gender focal points on different topics related to gender equality -Trainings delivered for different target groups (NGOs, public authorities, journalists, etc.)

    Printed publications and others (priority to digital communication) Email and phone (fast and continuous communication)

    Dissemination channels or ‘how do we communicate with users?’

    http://www.statistica.md/

  • Types of products

    •Press releases and Statistical publications presenting results of specific surveys

    Ongoing

    •Statistical publications focused on gender issues

    2004-2012 • Online database

    2008-2016

    • Analytical reports and/or articles

    2014, 2016 • GenderPulse App

    2017

    Data by sex

    Data + analysis+new data

    Database+separate folder

    New way to disseminate:Infographs, User friendly

    Interactive, User friendly

  • User Satisfaction Survey, 2008

    iv) How do we assess users’ needs?

    The goal and methodology Results

    • to identify the needs of current and potential users (areas and indicators), to assess the level of usage and access of gender statistics; • to assess the content of publication ‘Women and Men’

    • data are widely used by users (85%), mainly for research (56%), policy making (50%); • the main source of data- printed statistical publications (77%) and NBS website (73%); • main difficulties: lack of data disaggregated by sex and other: residence area, etc., availability of time series, lack of specific indicators;

    • Paper-based interview, (>100 respondents from different groups: public administration, academia, NGOs, international organisations)

    • publication should contain more data disaggregated by sex; • data should be presented in a user friendly way, including explanation;

    • In-depth interview with NGOs, gender focal points

    • a list of new indicators and new area have been identified to be considered in further publications; • there was a confusion of what means gender statistics and how to identify the appropriate indicators for policy making;

  • The goal and methodology Results

    • to assess the level of satisfaction with statistical products in order to improve the policy and practices of NBS

    • NBS is the main source of information for more than 85% of users; • Users are more interested in data from population, labour force, prices and salary data, AND gender statistics are still one of the areas underused by users;

    • Paper-based interview (400 respondents from different target groups: public administration, academia, NGOs, international organisations, media, private sector)

    • Users would prefer to have more data available online (76%); and only 23% - printed publications;

    • 4 focus groups and 10 in-depth interviews;

    • Different approaches to target different group of users (beginner, intermediate, advanced);

    • There is an increase demand for data analysis;

    User Satisfaction Survey, 2012

  • Statistical publication Women and Men in the Republic of Moldova 2004, 2005, 2009 editions: data are

    presented in tables and graphs

    2008 edition – the first publication with short descriptive analysis which helps users to understand better the history behind the numbers

    2013 edition – the second publication with data analysis, including data on Women and Men at the regional level

    Statistical publications: focused on gender issues

    Data

    + Analysis

    + New

    regional data

  • Women and Men on the Labour Market

    Entrepreneurship

    Violence against women

    Women and Men in agriculture (agricultural census)

    Time use survey

    Statistical publications: results of specific surveys

    2008

    2009

    2011

    2012

    2013

  • Taking care of children

    Education

    Reading

    Mode of transportation

    Importance of unpaid work

    Volunteering and participatory activities

    Time use by people with disabilities

    Health and lifestyle

    Social life and entertainment

    Travelling

    in 2014 first collaboration with think-tank organization in presenting and communication of data 10 analytical reports have been prepared on the following topics

    Statistical publications: analytical reports

  • Statistical publications: 10 Women’s profiles (most vulnerable category):

    analytical reports+ infographics (2016)

  • • In 2014 a separate folder was created, dedicated to Gender statistics;

    • It is structured in 4 subsections according to the main policymaking area;

    • Data are available for 2008-2016 time series and it includes 42 indicators from 52 of the Minimum Set of Gender Indicators recommended by United Nations Statistics Division

    BUT • Data disaggregated by sex are also

    available in other sections- Population and Social statistics: Labour force, Earnings statistics, Education, Health statistics, Social protection, Justice, Regional statistics

    On line dissemination: database StatBank

    Gender indicators not presented in other compartments

  • www.genderpulse.md

    On line dissemination: GenderPulse App (2017)

    http://www.genderpulse.md/

  • Result: infographic

    GenderPulse: user friendly vizualization

  • Partnership for promotion

    Promotion of statistical product: Bloggers, journalists invited to inform the launch, write about App

    Banners created for different target groups (public authorities, media, gender NGOs)

    Common communication strategy on Facebook (NBS, UN pages)

    Private communication agency involved to organize a sponsored promotion campaign on different channels (Facebook, Google adwords)

    Events, innovation forum informing different target groups

    How to increase the visibility?

  • On line dissemination: App to disseminate data disaggregated by sex, from Census

    http://recensamant.statistica.md

    http://recensamant.statistica.md/

  • On line dissemination: App to disseminate data disaggregated by sex, from Census

    http://recensamant.statistica.md

    http://recensamant.statistica.md/

  • Social media: starting with 2010 data are disseminated through Facebook and Twitter

  • v) Web analytics

    1161 1018

    720 663 550

    642

    245

    1203

    604

    1039

    133 265 327 295

    106

    0

    400

    800

    1200

    1600

    2012 2013 2014 2015 2016 2017 2018, by 13may

    Page views

    Women and Men PublicationStatistical portrait of women and men (press release)Analytical notes on Time Use

    2351

    5364

    7720

    2846

    337 272 101

    15000

    12652

    0

    4000

    8000

    12000

    16000

    2015 2016 2017 2018, by 13 may

    Page views

    Gender statistics folder (Statbank)

    Women Profiles

    GenderPulse APP

    0 2000 4000 6000 8000 10000 12000 14000 16000

    2012

    2013

    2014

    2015

    2016

    2017

    2018, by 13may

    Page Views

    GenderPulse APP Women Profiles

    Statistical portrait of women and men (press release) Gender statistics folder (Statbank)

    Analytical notes on Time Use Women and Men Publication

  • How do we target different products?

    Media, general public

    • ? • ?

    Academia • ? • ?

    Public Authorities

    • ? • ?

    NGOs • ? • ?

    Exercise 1: In what kind of products might each category of users be most interested …?

  • Part B. Presenting gender statistics

  • - Tables To support the analysis and minimize the number of data values in text It eliminates the need to discuss less significant variables that are not essential To highlight key figures in a press release, web page or analytical publication Users can generate their own tables A small, well-formatted table can provide a great deal of information that readers can quickly absorb

    - Graphs Statistics can often be better understood when they are presented in a chart than in a table It is a very effective visual tool, as it displays data quickly and easily, facilitates comparison and can reveal trends and relationships within the data To communicate a key finding or message

    - Message Numbers don’t “talk” Catches the reader's attention quickly with a headline or image; Is easily understood, interesting and often entertaining; Encourages others, including the media, to use statistics Not everyone understand statistics by themselves, messages provide a helping hand.

    http://www.unece.org/stats/documents/writing.html

    The importance of presenting data

    http://www.unece.org/stats/documents/writing.html

  • Exercise 2. Let’s have a look…

  • Types of Tables

    -reference tables, source tables; -presentation tables ;

    - Big; - With absolute data; - Detailed in the indicators,

    classifications; - Used like references/ annexes

    -Smaller, simpler; -The aim is to present in a user friendly way data; -With relative data, rates, % rather; -Rounded figures usually; -Focused on limited number of variables;

    The basics of a table

    Title - short, clear, comprehensive. Unit of measurement The exact name of the indicators, not abbreviations Data source Notes (optional) Arranging data - Numbers right justified Rounding and Decimal (minimum) - Same amount of decimals for every figure Separator for thousands Chronological order of data for time series or according to standard classifications Use symbols: (”-”, “”, “…”, “0,0”-confidential data, missing data, very low value, etc) No empty cells (identify missing values)

  • Rounding and decimals

    GOOD GOOD BAD Thousand lei Thousand lei Thousand lei

    1 325,6 1 325 567 1324567

    1 674,0 1 673 985 1673985

    1 829,5 1 829 456 1829456

    GOOD BAD Thousand lei Thousand lei

    29,4 29,4

    1 715,0 1 715

    517,1 517,1

    GOOD BAD Thousand lei Thousand lei

    93,6 93,6

    1 045,4 1 045,4

    385,5 385,5

  • What about this graph?

    62.0

    64.0

    66.0

    68.0

    70.0

    72.0

    74.0

    76.0

    78.0

    2011 2012 2013 2014 2015 2016

    Life expectancy

  • What about this graph?

    71 71 72 71 72 72 67 67 68 68 68 68

    75 75 76 75 76 76

    0

    20

    40

    60

    80

    100

    2011 2012 2013 2014 2015 2016

    Life expectancy at birth in Moldova, 2011-2016 (years)

    Both sexes Men Women

    Improved!

    Source: National Bureau of Statistics

  • What are the graphs used for?

    Compare - which variable has higher or lower values?

    Changes over time - how does a variable evolve?

    Correlation - Are there two correlated variables?

    The relative share in the total (structures)

    Selecting the appropriate type of chart!

  • Presenting data

    No added value with colours

    Avoid 3-D graphs!

  • Presenting data

    No added value with background colors

    Put data in order of values!

  • Presenting data

    Hard to follow lines!

    0

    2

    4

    6

    8

    10

    12

    14

    16

    ≤ 20

    0

    200,

    01-4

    00

    400,

    01-6

    00

    600,

    01-8

    00

    800,

    01-1

    000

    1000

    ,01-

    1200

    1200

    ,01-

    1400

    1400

    ,01-

    1600

    1600

    ,01-

    1800

    1800

    ,01-

    2000

    2000

    ,01-

    2200

    2200

    ,01-

    2400

    2400

    ,01-

    2600

    2600

    ,01-

    2800

    2800

    ,01-

    3000

    > 30

    00

    lei

    % population

    2010 2011 2012 2013 2014 2015

  • Presenting data in Moldova

    2006 versus 2017

  • Presenting data in Moldova

    BEFORE

    NOW

  • Presenting data in Moldova

    2002 versus 2016, statistical yearbook

  • Presenting data in Moldova

    Good examples

  • How can we improve the graph?

  • How can we improve the graph?

  • Thank you

    for your attention!

    www.statistica.md www.genderpulse.md

    http://www.statistuica.md/http://www.statistica.md/http://www.genderpulse.md/

    Slide Number 1Slide Number 2Slide Number 3"Dissemination of statistical information and access to all statistical information, which according to the fundamental principles of official statistics, namely the principle of confidentiality provided in the European Statistics Code of Practice, complements the statistical production process and assures the fulfillment of the statistics mission, namely making available to all categories of users objective, credible and timely statistical data necessary for decison making policies, research, forecasting and general information of society“. ������Slide Number 5Slide Number 6Slide Number 7Types of products�User Satisfaction Survey, 2008Slide Number 10Slide Number 11Slide Number 12Slide Number 13Slide Number 14Slide Number 15Slide Number 16Result: infographicPartnership for promotionSlide Number 19Slide Number 20Slide Number 21Slide Number 22Slide Number 23Slide Number 24Slide Number 25Slide Number 26Slide Number 27Slide Number 28Slide Number 29Slide Number 30Slide Number 31Slide Number 32Slide Number 33Slide Number 34Slide Number 35Slide Number 36Slide Number 37Slide Number 38Slide Number 39Slide Number 40Slide Number 41