Country Profile

15
ODIN SCORE
Swaziland
191st GLOBAL RANK
OUT OF 195
14 COVERAGE SCORE
OUT OF 100
17 OPENNESS SCORE
OUT OF 100

Summary of Results

The Open Data Inventory (ODIN) measures how complete a country’s statistical offerings are and whether their data meet international standards of openness. Eswatini ranks 191st in the Open Data Inventory 2022 with an overall score of 15. The overall score is a combination of a data coverage subscore of 14 and a data openness subscore of 17.

The following tables show the coverage and openness scores for each data category. For more detailed information, view the Coverage and Openness tabs.

Rankings

Coverage Openness Overall
Global
OUT OF 195
191st 190th 191st
Southern Africa
OUT OF 5
5th 5th 5th

Category Scores

Data Category Coverage Openness    Overall   
Population & vital statistics 40 40 40
Education facilities 0 0 0
Education outcomes 0 0 0
Health facilities 0 0 0
Health outcomes 10 40 25
Reproductive health 20 40 30
Food security & nutrition 13 40 28
Gender statistics 30 40 35
Crime & justice 0 0 0
Poverty & income 0 0 0
Social Statistics subscore 11 20 16
National accounts 38 40 39
Labor 30 40 35
Price indexes 38 40 39
Government finance 63 40 50
Money & banking 0 0 0
International trade 0 0 0
Balance of payments 0 0 0
Economic Statistics subscore 27 23 25
Agriculture and land use 0 0 0
Resource use 0 0 0
Energy 0 0 0
Pollution 0 0 0
Built environment 20 40 30
Environment subscore 5 8 7
All Categories 14 17 15
Last updated: August 9, 2023

Coverage

The Open Data Inventory (ODIN) assesses coverage based on five coverage elements described below. Each category receives a coverage score based on the amount of data available in that category. Average scores across all categories are shown in the chart below.

In general, coverage scores are based on the availability of indicator availabilities published, how many observations are available over the last 10 years, and if national and subnational data exist.

Indicators Not Published

Indicators are considered not published when no qualifying and disaggregated data are found. Not all indicators are required for full credit in every category.

68%
Number of Categories That Score 0

Categories that score 0 do not publish the minimum amount of data to receive a score. For most categories, the minimum amount of data is one indicator. There are 22 categories.

12
ODIN-Gender Data Index (OGDI) Score

OGDI is a sub-index of ODIN, which measures the availability and openness of 35 indicators that should be sex-disaggregated or apply only to women and girls. Click the score to learn more.

20

Coverage Element Scores, 2022

Click to see a description of each coverage element. Scoring criteria for each can be found in the Methodology Guide on the page that corresponds to the coverage element. Element scores are given for each category. The chart above shows average scores across all categories.

Indicator availability
This coverage element measures how many indicators and disaggregations are published within a category. In each category, all other coverage elements cannot score higher than this element so that coverage scores are not inflated by only a few datasets.
Data Available the Last 5 Years
This coverage element measures how many of the last 5 years of data are available for indicators within each category.
Data Available the Last 10 Years
This coverage element measures how many of the last 10 years of data are available for indicators within each category.
First Administrative Level
This coverage element measures whether data are available at the first administrative level within each category. First administrative levels are defined by the ISO 3166-2 standard and adjusted for country practices. Not all categories or indicators are required to be published data at this level.
Second Administrative Level
This coverage element measures whether data are available at the second administrative level within each category. Second administrative levels are not defined and any further division of first administrative levels are accepted. Not all categories or indicators are required to be published at this level.

Openness

The Open Data Inventory (ODIN) assesses openness based on five coverage elements described below. Each category receives a coverage score based on the amount of data available in that category. Average scores across all categories are shown in the chart below.

In general, openness scores are based on the format and licensing of the datasets, the comprehensiveness of metadata, and what download options exist.

Data License/Terms of Use

The licensing or terms of use that govern the use and reuse of data assessed in ODIN are classified as Open, Some Restrictions, Not Open or Not Available (if no license is found). Below is licensing information for data from the national statistics office on their website and data portal used most in their assessment, if applicable.

NSO Website

The Central Statistical Office

Not Available

Openness Element Scores, 2022

Click to see description of each openness element. Scoring criteria for each can be found in the Methodology Guide on the page that corresponds to the openness element. Element scores are given for each category. The chart above shows average scores across all categories.

Machine Readability
This openness element measures whether data are made available in machine readable formats. Machine readable file formats allow users to easily process data using a computer. Common machine readable formats include XLS, XLSX, CSV, and JSON files.
Nonproprietary Format
This openness element measures whether data are made available in nonproprietary formats. Nonproprietary file formats are important because they allow users to access data without requiring the use of a costly, proprietary software that may prevent some users from accessing the data. Common nonproprietary formats include PDF, HTML, XLSX, DOCX, CSV, and JSON files.
Metadata Availability
This openness element measures whether metadata are available for the published indicators. Metadata must be located in or near the data file or on a designated metadata section of the website. ODIN looks for three aspects of metadata: (1) definition of indicator; (2) date of upload; and (3) Source agency.
Download Options
This openness element measures whether download options are available. ODIN looks for three download options: (1) bulk download (at the indicator level), (2) API, and (3) user-select download (custom downloads). Options 2 and 3 are interchangeable for scoring purposes.
Data license/Terms of use
This openness element measures whether data are made available under an open license. Open licenses must allow the use, reuse, and sharing or adaption of data for commercial and noncommercial use without any obligation other than attribution, per the Open Definition. Licenses prohibiting commercial use or having two or more additional stipulations are classified as “Not Open”. Licenses with no more than one additional stipulation are classified as “Some Restrictions.” Licenses that do not explicitly state all allowed uses under the Open Definition and do not include restrictive language are also classified as “Some Restrictions.”

ODIN Indicators

The Open Data Inventory (ODIN) 2022/23 assesses data for 65 representative indicators in 22 data categories. The ODIN indicators are not meant to be a comprehensive list of all indicators produced by a country, but rather an indicative sample of the fundamental types of data produced by countries.

The table below shows a list of all ODIN indicators, whether qualifying data were found, and information about the coverage and openness criteria for each dataset. To qualify, a dataset must be published on the NSO website or an official government website linked from the NSO website. It must show national level data, have one of the required categorical disaggregations (if applicable), and present data from the last 10 years.

Not all indicators are required for full credit. More information about this can be found in our Methodology Guide.

ODIN 2022 Indicator List
(1.1) Population data Data available
Population & vital statistics

Dataset Coverage Dataset Openness
Population & vital statistics Disaggregation - Sex, 5-Year Age Groups
Years - 2017, 2018, 2019, 2020, 2021
Levels - Admin 1, National Level
Metadata - Incomplete (Source, Definition)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Eswatini 2017-2038 Population Projections https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office > Ministries & Departments > Ministry of Economic Planning and Development > click through scrolling menu > Eswatini 2017-2038 Population Projections > Table 5.6, pgs. 60-64
(1.2) Birth rate Data Not Available
Population & vital statistics
(1.3) Death rate Data Not Available
Population & vital statistics
(2.1) Number of schools or classrooms Data Not Available
Education facilities
(2.2) Number of teaching staff Data Not Available
Education facilities
(2.3) Education expenditures Data Not Available
Education facilities
(3.1) Enrollment rate Data Not Available
Education outcomes
(3.2) Completion or graduation rate Data Not Available
Education outcomes
(3.3) Competency exam results Data Not Available
Education outcomes
(4.1) Number of health facilities Data Not Available
Health facilities
(4.2) Number of beds or data on health care staff Data Not Available
Health facilities
(4.3) Health expenditures Data Not Available
Health facilities
(5.1) Immunization rate Data available
Health outcomes

Dataset Coverage Dataset Openness
Health outcomes Disaggregation - Age
Years - 2014,
Levels - National Level,
Metadata - Incomplete (Source)
Format - PDF (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Swaziland Multiple Indicator Cluster Survey 2014 Key Findings https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office > click "CLICK HERE! For Statistical Products and Information" > MICS KEY FINDINGS Report Swaziland 2015 > pg.6
(5.2) Diseases prevalence Data Not Available
Health outcomes
(6.1) Maternal mortality rate Data Not Available
Reproductive health
(6.2) Infant mortality rate or neonatal mortality rate Data available
Reproductive health

Dataset Coverage Dataset Openness
Reproductive health Disaggregation - Sex
Years - 2017
Levels - National Level
Metadata - Incomplete (Source)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
2017-2038 Population Projections https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office > Ministries and Departments > Ministry of Economic Planning and Development > click through scrolling menu on home page > "Eswatini 2017-2038 Population Projections" > download report > Table 1, pg. vi
(6.3) Under-5 mortality rate Data Not Available
Reproductive health
(6.4) Fertility rate Data available (1 of 2 datasets)
Reproductive health

Dataset Coverage Dataset Openness
Reproductive health Disaggregation - None
Years - 2014,
Levels - National Level,
Metadata - Incomplete (Source, Definition)
Format - PDF (np);
Download Options - No download options
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Swaziland Multiple Indicator Cluster Survey 2014 Key Findings https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office/ > "CLICK HERE! For Statistical Products and Information" > MICS kEY FINDINGS Report Swaziland 2015 > Contraception and unmet need, pg. 9
(6.4) Fertility rate Data available (2 of 2 datasets)
Reproductive health

Dataset Coverage Dataset Openness
Reproductive health Disaggregation - None
Years - 2017
Levels - National Level
Metadata - Incomplete (Source)
Format - PDF (np)
Download Options - No download options
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
2017-2038 Population Projections https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office > Ministries and Departments > Ministry of Economic Planning and Development > click through scrolling menu on home page > "Eswatini 2017-2038 Population Projections" > download report > Table 2.5, pg. 11
(6.5) Contraceptive prevalence rate Data available
Reproductive health

Dataset Coverage Dataset Openness
Reproductive health Disaggregation - None
Years - 2014,
Levels - National Level,
Metadata - Incomplete (Source)
Format - PDF (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Swaziland Multiple Indicator Cluster Survey 2014 Key Findings https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office/ > "CLICK HERE! For Statistical Products and Information" > MICS kEY FINDINGS Report Swaziland 2015 > Contraception and unmet need, pg. 9
(6.6) Adolescent birth rate Data available
Reproductive health

Dataset Coverage Dataset Openness
Reproductive health Disaggregation - None
Years - 2014,
Levels - National Level,
Metadata - Incomplete (Source)
Format - PDF (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Swaziland Multiple Indicator Cluster Survey 2014 Key Findings https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office/ > "CLICK HERE! For Statistical Products and Information" > MICS kEY FINDINGS Report Swaziland 2015 > Contraception and unmet need, pg. 9
(7.1) Prevalence of undernourishment Data Not Available
Food security & nutrition
(7.2) Prevalence of moderate or severe food insecurity Data Not Available
Food security & nutrition
(7.3) Prevalence of obesity Data available
Food security & nutrition

Dataset Coverage Dataset Openness
Food security & nutrition Disaggregation - Age
Years - 2014,
Levels - National Level,
Metadata - Incomplete (Source)
Format - PDF (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Swaziland Multiple Indicator Cluster Survey 2014 Key Findings https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office > "CLICK HERE! For Statistical Products and Information" > MICS kEY FINDINGS Report Swaziland 2015 > Nutritional status, pg. 3
(7.4) Prevalence of stunting Data available
Food security & nutrition

Dataset Coverage Dataset Openness
Food security & nutrition Disaggregation - Age
Years - 2014,
Levels - National Level,
Metadata - Incomplete (Source)
Format - PDF (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Swaziland Multiple Indicator Cluster Survey 2014 Key Findings https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office > "CLICK HERE! For Statistical Products and Information" > MICS kEY FINDINGS Report Swaziland 2015 > Nutritional status, pg. 3
(7.5) Prevalence of wasting Data available
Food security & nutrition

Dataset Coverage Dataset Openness
Food security & nutrition Disaggregation - Age
Years - 2014,
Levels - National Level,
Metadata - Incomplete (Source)
Format - PDF (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Swaziland Multiple Indicator Cluster Survey 2014 Key Findings https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office > "CLICK HERE! For Statistical Products and Information" > MICS kEY FINDINGS Report Swaziland 2015 > Nutritional status, pg. 3
(8.1) Proportion of women who are victims of physical, sexual, or psychological violence Data Not Available
Gender statistics
(8.2) Proportion of women in government Data available
Gender statistics

Dataset Coverage Dataset Openness
Gender statistics Disaggregation - None
Years - 2017
Levels - Admin 1, National Level
Metadata - Incomplete (Source, Definition)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
The 2017 Population and Housing Census Volume 5 https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office > Search "Census" > Eswatini Census Documents > The 2017 Population and Housing Census Volume 5 > Table 2.6.2, pg. 24
(8.3) Data on child marriages for girls Data available
Gender statistics

Dataset Coverage Dataset Openness
Gender statistics Disaggregation - None
Years - 2014,
Levels - National Level,
Metadata - Incomplete (Source)
Format - PDF (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Swaziland Multiple Indicator Cluster Survey 2014 Key Findings https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office > "CLICK HERE! For Statistical Products and Information" > MICS kEY FINDINGS Report Swaziland 2015 > Pg. 14
(9.1) Homicide rate Data Not Available
Crime & justice
(9.2) Crime rate Data Not Available
Crime & justice
(9.3) Data on prison population Data Not Available
Crime & justice
(10.1) Poverty rate Data Not Available
Poverty & income
(10.2) Distribution of income by deciles or Gini coefficient Data Not Available
Poverty & income
(11.1) Gross domestic product (production approach) Data available
National accounts

Dataset Coverage Dataset Openness
National accounts Disaggregation - Industry
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level
Metadata - Incomplete (Source, Definition)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
2020 GDP Report https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office > Ministries and Departments > Ministry of Economic Planning and Development > Documents > 47. 2020 GDP Annual Report > Table 1, pg. 8
(11.2) Gross domestic product (expenditure approach) Data available
National accounts

Dataset Coverage Dataset Openness
National accounts Disaggregation - Expenditure Categories
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020
Levels - National Level
Metadata - Incomplete (Source, Definition)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
2020 GDP Report https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office > Ministries and Departments > Ministry of Economic Planning and Development > Documents > 47. 2020 GDP Annual Report > Table 1, pg. 12
(11.3) Gross domestic product (income approach) Data Not Available
National accounts
(12.1) Employment rate Data Not Available
Labor
(12.2) Employment distribution Data available (1 of 2 datasets)
Labor

Dataset Coverage Dataset Openness
Labor Disaggregation - Occupation, Sex
Years - 2017
Levels - National Level
Metadata - Incomplete (Source, Definition)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
The 2017 Population and Housing Census Volume 5 https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office > Search for "Census" > Eswatini Census Documents > The 2017 Population and Housing Census 2017 Volume 5 > Figure 2.6.4, pg. 25
(12.2) Employment distribution Data available (2 of 2 datasets)
Labor

Dataset Coverage Dataset Openness
Labor Disaggregation - Occupation, Sex
Years - 2017
Levels - Admin 1, National Level
Metadata - Incomplete (Source, Definition)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
The 2017 Population and Housing Census Volume 5 https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office > Search for "Census" > Eswatini Census Documents > The 2017 Population and Housing Census 2017 Volume 5 > Figure 2.6.2, pg. 24
(12.3) Unemployment rate Data available
Labor

Dataset Coverage Dataset Openness
Labor Disaggregation - Sex, Age
Years - 2017
Levels - Admin 1, National Level
Metadata - Incomplete (Source, Definition)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
The 2017 Population and Housing Census Volume 5 https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office > Search for "Census" > Eswatini Census Documents > The 2017 Population and Housing Census 2017 Volume 5 > Table 2.4.1 and Table 2.4.2, pgs. 17 and 19
(13.1) Consumer price index Data available
Price indexes

Dataset Coverage Dataset Openness
Price indexes Disaggregation - None
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
Levels - National Level
Metadata - Incomplete (Source)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Quarterly Economic Bulletin, Quarter 1, 2020 https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office > Ministries and Departments > Ministry of Economic Planning & Development > Documents > 41. MPED Economic Bulletin : issue no:33 > Appendix I, pg. 19
(13.2) Producers price index Data Not Available
Price indexes
(14.1) Actual revenues Data available
Government finance

Dataset Coverage Dataset Openness
Government finance Disaggregation - Revenue Source
Years - 2016/2017, 2017/2018, 2018/2019, 2019/2020, 2020/2021
Levels - National Level,
Metadata - Incomplete (Definition)
Format - PDF (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Budget estimates 2019-2022 https://www.gov.sz/index.php?option=com_content&view=article&id=687:central-statistics-office > Main Portal > Finance Documents - Budget estimates 2019-2022 > SUMMARY OF REVENUE ESTIMATES (E'000) 2016/17-2021/22, pg. 4
(14.2) Actual expenditures Data available
Government finance

Dataset Coverage Dataset Openness
Government finance Disaggregation - Functional Classification
Years - 2017/2018, 2018/2019, 2019/2020, 2020/2021
Levels - National Level,
Metadata - Incomplete (Definition)
Format - PDF (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Budget Estimates 2020 to 2023 http://www.gov.sz/index.php Main Portal > Finance Documents - Budget Estimates 2020 to 2023 > COMPARATIVE BUDGET SUMMARY, 2017/18 - 2022/23, pg. 5
(15.1) Money supply Data Not Available
Money & banking
(15.2) Interest rates Data Not Available
Money & banking
(16.1) Merchandise exports Data Not Available
International trade
(16.2) Merchandise imports Data Not Available
International trade
(18.1) Data on land use or land cover Data Not Available
Agriculture and land use
(18.2) Data on protected lands Data Not Available
Agriculture and land use
(18.3) Commodity production Data Not Available
Agriculture and land use
(19.1) Data on fishery harvests Data Not Available
Resource use
(19.2) Data on timber harvests or deforestation Data Not Available
Resource use
(19.3) Data on mining or extractive activities Data Not Available
Resource use
(19.4) Water consumption Data Not Available
Resource use
(20.1) Energy consumption Data Not Available
Energy
(20.2) Energy supply Data Not Available
Energy
(21.1) Greenhouse gas emissions Data Not Available
Pollution
(21.2) Emissions of air or water pollutants Data Not Available
Pollution
(22.1) Proportion of households with access to water Data available
Built environment

Dataset Coverage Dataset Openness
Built environment Disaggregation - Water Supply Type
Years - 2014
Levels - National Level
Metadata - Incomplete (Source)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Swaziland Multiple Indicator Cluster Survey 2014 4.1, pg. 8
(22.2) Proportion of households with access to sanitation Data available
Built environment

Dataset Coverage Dataset Openness
Built environment Disaggregation - Sanitation Facility Type
Years - 2014
Levels - National Level
Metadata - Incomplete (Source)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Swaziland Multiple Indicator Cluster Survey 2014 4.3, pg. 8
(22.3) Number of rooms or bedrooms Data Not Available
Built environment
(22.4) Access to electricity Data available
Built environment

Dataset Coverage Dataset Openness
Built environment Disaggregation - None
Years - 2014
Levels - National Level
Metadata - Incomplete (Source)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Swaziland Multiple Indicator Cluster Survey 2014 Pg. 1
(22.5) Data on housing construction materials Data Not Available
Built environment

Recommendations

Every country can improve their open data and ODIN scores can help identify gaps where improvements should be focused. The following recommendations may involve not only the national statistics office, but the entire national statistical system.

If you would like to learn more about how to implement these recommendations, please visit our Technical Assistance page to schedule a meeting

44 ODIN indicators were not published with any of the required disaggregation. ODIN indicators are only a representative sample of the types of data a country should publish and not all indicators below may be relevant to your country. Nonetheless, those that are should be published. Below is a table of the ODIN indicators where no disaggregated data could be found on the NSO website or any official national website that is linked from the NSO website. See the Methodology Guide for definitions of each indicator.

Missing ODIN Indicator Required Disaggregation
(1.2) Birth rate Sex, Marital Status
(1.3) Death rate Sex
(2.1) Number of schools or classrooms School Stage, School Type
(2.2) Number of teaching staff School Stage, School Type, Sex
(2.3) Education expenditures School Stage, Expenditure Categories
(3.1) Enrollment rate Sex, Age, School Stage, School Type
(3.2) Completion or graduation rate Sex, Age, School Stage, School Type
(3.3) Competency exam results Sex, Age, School Stage
(4.1) Number of health facilities Facility Type
(4.2) Number of beds or data on health care staff Facility Type, Department Type, Staff Type
(4.3) Health expenditures Expenditure Categories
(5.2) Diseases prevalence Age, Sex, Disease Type
(6.1) Maternal mortality rate None
(6.3) Under-5 mortality rate Sex
(7.1) Prevalence of undernourishment Sex
(7.2) Prevalence of moderate or severe food insecurity Sex
(8.1) Proportion of women who are victims of physical, sexual, or psychological violence Age, Disability Status, Relationship To Perpetrator, Type of violence
(9.1) Homicide rate Sex Of Victim, Age Of Victim, Sex Of Perpetrator, Age Of Perpetrator, Victim/Perpetrator Relationship
(9.2) Crime rate Crime Type, Sex Of Victim, Age Of Victim, Sex Of Perpetrator, Age Of Perpetrator, Victim/Perpetrator Relationship
(9.3) Data on prison population Age, Sex, Sentencing Status
(10.1) Poverty rate None
(10.2) Distribution of income by deciles or Gini coefficient None
(11.3) Gross domestic product (income approach) Income Components
(12.1) Employment rate Sex, Age
(13.2) Producers price index None
(15.1) Money supply Money Aggregates
(15.2) Interest rates Rate Type
(16.1) Merchandise exports Product Categories
(16.2) Merchandise imports Product Categories
(17.1) Current account Account Components
(17.2) Capital and financial account Account Components
(18.1) Data on land use or land cover Crop Type, Environmental Zones, Irrigation Status
(18.2) Data on protected lands None
(18.3) Commodity production Commodity Type
(19.1) Data on fishery harvests None
(19.2) Data on timber harvests or deforestation None
(19.3) Data on mining or extractive activities Raw material type
(19.4) Water consumption Sector
(20.1) Energy consumption Energy Commodity, Sector
(20.2) Energy supply Energy Commodity
(21.1) Greenhouse gas emissions Gas Type
(21.2) Emissions of air or water pollutants Pollutant Type
(22.3) Number of rooms or bedrooms None
(22.5) Data on housing construction materials Material Type

3 ODIN indicators were not published with sex-disaggregation. Sex-disaggregated data are important to reflect the realities of men and women in various policy areas and narrow gender inequalities. Below is a table of the ODIN indicators where no sex-disaggregated data could be found on the NSO website or any official national website that is linked from the NSO website.

ODIN Indicator with no sex-disaggregation Published
(5.1) Immunization rate
(7.3) Prevalence of obesity
(12.2) Employment distribution

No data license or terms of use for data on the website that indicates how data can be used was found. Adopting an open license is a core component of the definition of open data. Data cannot be open unless they are licensed for reuse. An open data license is an opportunity for governments to encourage public use of their data by specifically addressing how people can use data, how they should attribute data, and what types of use, if any, are prohibited. These specifics encourage use and reuse of data by alleviating user concerns about legal ramifications of unapproved use. Please reference the Best Practices section of the Methodology Guide for examples from other countries and reach out to Open Data Watch for advice. Below is a table with the name of the NSO and website where a data license or terms of use for data could not be found.

NSO Name Website
The Central Statistical Office http://www.swazistats.org.sz

23 ODIN indicators were not published in machine-readable formats for all years available. Machine-readable data are structured data in formats that can be read and processed by a computer. These include Extensible Markup Language (XML), JavaScript Object Notation (JSON), common-separated values (CSV), and Microsoft Excel’s Open XML Spreadsheet (XLSX). When data are made available in formats that are not machine-readable, users cannot easily access and modify the data, which severely restricts their use. Below is a table of the ODIN indicators for which data in a machine readable format could not be found. File formats with a (r) indicate that the file is machine readable. File formats with a (np) indicate that the file is nonproprietary.

ODIN Indicator not published in machine readable formats Dataset URL File Format
(1.1) Population data Eswatini 2017-2038 Population Projections PDF (np)
(5.1) Immunization rate Swaziland Multiple Indicator Cluster Survey 2014 Key Findings PDF (np);
(6.2) Infant mortality rate or neonatal mortality rate 2017-2038 Population Projections PDF (np)
(6.4) Fertility rate Swaziland Multiple Indicator Cluster Survey 2014 Key Findings PDF (np);
(6.4) Fertility rate 2017-2038 Population Projections PDF (np)
(6.5) Contraceptive prevalence rate Swaziland Multiple Indicator Cluster Survey 2014 Key Findings PDF (np);
(6.6) Adolescent birth rate Swaziland Multiple Indicator Cluster Survey 2014 Key Findings PDF (np);
(7.3) Prevalence of obesity Swaziland Multiple Indicator Cluster Survey 2014 Key Findings PDF (np);
(7.4) Prevalence of stunting Swaziland Multiple Indicator Cluster Survey 2014 Key Findings PDF (np);
(7.5) Prevalence of wasting Swaziland Multiple Indicator Cluster Survey 2014 Key Findings PDF (np);
(8.2) Proportion of women in government The 2017 Population and Housing Census Volume 5 PDF (np)
(8.3) Data on child marriages for girls Swaziland Multiple Indicator Cluster Survey 2014 Key Findings PDF (np);
(11.1) Gross domestic product (production approach) 2020 GDP Report PDF (np)
(11.2) Gross domestic product (expenditure approach) 2020 GDP Report PDF (np)
(12.2) Employment distribution The 2017 Population and Housing Census Volume 5 PDF (np)
(12.2) Employment distribution The 2017 Population and Housing Census Volume 5 PDF (np)
(12.3) Unemployment rate The 2017 Population and Housing Census Volume 5 PDF (np)
(13.1) Consumer price index Quarterly Economic Bulletin, Quarter 1, 2020 PDF (np)
(14.1) Actual revenues Budget estimates 2019-2022 PDF (np);
(14.2) Actual expenditures Budget Estimates 2020 to 2023 PDF (np);
(22.1) Proportion of households with access to water Swaziland Multiple Indicator Cluster Survey 2014 PDF (np)
(22.2) Proportion of households with access to sanitation Swaziland Multiple Indicator Cluster Survey 2014 PDF (np)
(22.4) Access to electricity Swaziland Multiple Indicator Cluster Survey 2014 PDF (np)

23 ODIN indicators were with complete metadata. For all years available. Many metadata standards can be used to meet ODIN criteria for complete metadata. Metadata must include the following three components: 1) Source agency of data, 2) Definition of indicator, and 3) Date that data was uploaded online. Datasets should be published with ample metadata to “aid both discoverability and usability of the data,” according to the Open Data Handbook. Various metadata standards exist that are often used for statistical data, including Dublin Core, Data Catalogue Vocabulary (DCAT), and RDF Data Cube Vocabulary. Below is a table of the ODIN indicators for which data with incomplete metadata was found.

ODIN Indicator with Incomplete Metadata Dataset URL Metadata Components Not Found
(1.1) Population data Eswatini 2017-2038 Population Projections Date
(5.1) Immunization rate Swaziland Multiple Indicator Cluster Survey 2014 Key Findings Date, Definition
(6.2) Infant mortality rate or neonatal mortality rate 2017-2038 Population Projections Date, Definition
(6.4) Fertility rate Swaziland Multiple Indicator Cluster Survey 2014 Key Findings Date
(6.4) Fertility rate 2017-2038 Population Projections Date, Definition
(6.5) Contraceptive prevalence rate Swaziland Multiple Indicator Cluster Survey 2014 Key Findings Date, Definition
(6.6) Adolescent birth rate Swaziland Multiple Indicator Cluster Survey 2014 Key Findings Date, Definition
(7.3) Prevalence of obesity Swaziland Multiple Indicator Cluster Survey 2014 Key Findings Date, Definition
(7.4) Prevalence of stunting Swaziland Multiple Indicator Cluster Survey 2014 Key Findings Date, Definition
(7.5) Prevalence of wasting Swaziland Multiple Indicator Cluster Survey 2014 Key Findings Date, Definition
(8.2) Proportion of women in government The 2017 Population and Housing Census Volume 5 Date
(8.3) Data on child marriages for girls Swaziland Multiple Indicator Cluster Survey 2014 Key Findings Date, Definition
(11.1) Gross domestic product (production approach) 2020 GDP Report Date
(11.2) Gross domestic product (expenditure approach) 2020 GDP Report Date
(12.2) Employment distribution The 2017 Population and Housing Census Volume 5 Date
(12.2) Employment distribution The 2017 Population and Housing Census Volume 5 Date
(12.3) Unemployment rate The 2017 Population and Housing Census Volume 5 Date
(13.1) Consumer price index Quarterly Economic Bulletin, Quarter 1, 2020 Date, Definition
(14.1) Actual revenues Budget estimates 2019-2022 Source, Date
(14.2) Actual expenditures Budget Estimates 2020 to 2023 Source, Date
(22.1) Proportion of households with access to water Swaziland Multiple Indicator Cluster Survey 2014 Date, Definition
(22.2) Proportion of households with access to sanitation Swaziland Multiple Indicator Cluster Survey 2014 Date, Definition
(22.4) Access to electricity Swaziland Multiple Indicator Cluster Survey 2014 Date, Definition

18 ODIN indicators were available in datasets that did not include data points for 6 of the last 10 years. It is important to publish historical data, if they exist, and not only recent data. Below is a table of the ODIN indicators for which data for less than 6 of the last 10 years was published.

ODIN Indicator Disaggregation Found URL Years Found
(1.1) Population data Sex, Marital Status, 5-Year Age Groups Eswatini 2017-2038 Population Projections 2017,2018,2019,2020,2021
(5.1) Immunization rate Age, Sex Swaziland Multiple Indicator Cluster Survey 2014 Key Findings 2014
(6.2) Infant mortality rate or neonatal mortality rate Sex 2017-2038 Population Projections 2017
(6.4) Fertility rate None Swaziland Multiple Indicator Cluster Survey 2014 Key Findings 2014,2017
(6.5) Contraceptive prevalence rate None Swaziland Multiple Indicator Cluster Survey 2014 Key Findings 2014
(6.6) Adolescent birth rate None Swaziland Multiple Indicator Cluster Survey 2014 Key Findings 2014
(7.3) Prevalence of obesity Sex, Age Swaziland Multiple Indicator Cluster Survey 2014 Key Findings 2014
(7.4) Prevalence of stunting Sex, Age Swaziland Multiple Indicator Cluster Survey 2014 Key Findings 2014
(7.5) Prevalence of wasting Sex, Age Swaziland Multiple Indicator Cluster Survey 2014 Key Findings 2014
(8.2) Proportion of women in government None The 2017 Population and Housing Census Volume 5 2017
(8.3) Data on child marriages for girls None Swaziland Multiple Indicator Cluster Survey 2014 Key Findings 2014
(12.2) Employment distribution Industry, Occupation, Sex The 2017 Population and Housing Census Volume 5 2017
(12.3) Unemployment rate Sex, Age The 2017 Population and Housing Census Volume 5 2017
(14.1) Actual revenues Revenue Source Budget estimates 2019-2022 2016/2017,2017/2018,2018/2019,2019/2020,2020/2021
(14.2) Actual expenditures Administrative Classification, Economic Classification, Functional Classification Budget Estimates 2020 to 2023 2017/2018,2018/2019,2019/2020,2020/2021
(22.1) Proportion of households with access to water Water Supply Type Swaziland Multiple Indicator Cluster Survey 2014 2014
(22.2) Proportion of households with access to sanitation Sanitation Facility Type Swaziland Multiple Indicator Cluster Survey 2014 2014
(22.4) Access to electricity None Swaziland Multiple Indicator Cluster Survey 2014 2014

21 ODIN indicators were available in datasets that did not include data points for 3 of the last 5 years. It is important to publish recent data, if they exist, and not only time series data. Below is a table of the ODIN indicators where data for less than 3 of the last 5 years was published.

ODIN Indicator Disaggregation Found URL Years Found
(1.1) Population data Sex, Marital Status, 5-Year Age Groups Eswatini 2017-2038 Population Projections 2017,2018,2019,2020,2021
(5.1) Immunization rate Age, Sex 2014
(6.2) Infant mortality rate or neonatal mortality rate Sex Only receive credit for 2017, bc the projections are based off of the 2017 Census 2017
(6.4) Fertility rate None , Only receive credit for 2017, bc the projections are based off of the 2017 Census 2014,2017
(6.5) Contraceptive prevalence rate None 2014
(6.6) Adolescent birth rate None 2014
(7.3) Prevalence of obesity Sex, Age updated navigation 2014
(7.4) Prevalence of stunting Sex, Age updated navigation 2014
(7.5) Prevalence of wasting Sex, Age 2014
(8.2) Proportion of women in government None 2017
(8.3) Data on child marriages for girls None 2014
(11.1) Gross domestic product (production approach) Industry 2020 GDP Report 2012,2013,2014,2015,2016,2017,2018,2019,2020
(11.2) Gross domestic product (expenditure approach) Expenditure Categories 2020 GDP Report 2012,2013,2014,2015,2016,2017,2018,2019,2020
(12.2) Employment distribution Industry, Occupation, Sex , 2017
(12.3) Unemployment rate Sex, Age 2017
(13.1) Consumer price index None Quarterly Economic Bulletin, Quarter 1, 2020 2012,2013,2014,2015,2016,2017,2018,2019
(14.1) Actual revenues Revenue Source Budget estimates 2019-2022 2016/2017,2017/2018,2018/2019,2019/2020,2020/2021
(14.2) Actual expenditures Administrative Classification, Economic Classification, Functional Classification Budget Estimates 2020 to 2023 2017/2018,2018/2019,2019/2020,2020/2021
(22.1) Proportion of households with access to water Water Supply Type 2014
(22.2) Proportion of households with access to sanitation Sanitation Facility Type 2014
(22.4) Access to electricity None 2014

17 ODIN indicators were available in datasets that did not include data at the subnational geographic level. Disaggregation of indicators at the subnational level is one of the key elements to effectively monitor development of a country and ensure certain groups of people are not left behind. Below is a table of the ODIN indicators where data was only made available at the national level.

ODIN Indicator Disaggregation Found URL
(5.1) Immunization rate Age, Sex Swaziland Multiple Indicator Cluster Survey 2014 Key Findings
(6.2) Infant mortality rate or neonatal mortality rate Sex 2017-2038 Population Projections
(6.4) Fertility rate None Swaziland Multiple Indicator Cluster Survey 2014 Key Findings , 2017-2038 Population Projections
(6.5) Contraceptive prevalence rate None Swaziland Multiple Indicator Cluster Survey 2014 Key Findings
(6.6) Adolescent birth rate None Swaziland Multiple Indicator Cluster Survey 2014 Key Findings
(7.3) Prevalence of obesity Sex, Age Swaziland Multiple Indicator Cluster Survey 2014 Key Findings
(7.4) Prevalence of stunting Sex, Age Swaziland Multiple Indicator Cluster Survey 2014 Key Findings
(7.5) Prevalence of wasting Sex, Age Swaziland Multiple Indicator Cluster Survey 2014 Key Findings
(8.3) Data on child marriages for girls None Swaziland Multiple Indicator Cluster Survey 2014 Key Findings
(11.1) Gross domestic product (production approach) Industry 2020 GDP Report
(11.2) Gross domestic product (expenditure approach) Expenditure Categories 2020 GDP Report
(13.1) Consumer price index None Quarterly Economic Bulletin, Quarter 1, 2020
(14.1) Actual revenues Revenue Source Budget estimates 2019-2022
(14.2) Actual expenditures Administrative Classification, Economic Classification, Functional Classification Budget Estimates 2020 to 2023
(22.1) Proportion of households with access to water Water Supply Type Swaziland Multiple Indicator Cluster Survey 2014
(22.2) Proportion of households with access to sanitation Sanitation Facility Type Swaziland Multiple Indicator Cluster Survey 2014
(22.4) Access to electricity None Swaziland Multiple Indicator Cluster Survey 2014

Country Context

To understand a country’s commitment to open data, it is important to look at ODIN scores in context. The information below includes assessments of the country’s statistical capacity, links to relevant laws, and comparative measures of the country’s performance on other measures of data coverage, openness, and government transparency.

Statistical Performance Indicators

The World Bank’s Statistical Performance Indicators measure the capacity and maturity of national statistical systems by assessing the use of data, the quality of services, the coverage of topics, the sources of information, and the infrastructure and availability of resources. The goal is to improve development outcomes and track progress toward the Sustainable Development Goals.

Overall Score
47%
Data Use Score
90%
Data Services Score
22%
Data Products Score
64%
Data Sources Score
20%
Data Infrastructure Score
40%

Global Data Barometer

The Global Data Barometer is a project of the Data for Development Network that aims to measure the state of data in relation to urgent societal issues. It seeks to appraise data availability, governance, capability and use around the world to help shape data infrastructures that limit risks and harms in climate action, company information, health and COVID-19, land, political integrity, public finance and public procurement.

Overall Score
-%
Governance Score
-%
Capability Score
-%
Availability Score
-%
Use and Impact Score
-%

Legal Framework

Data Commitments

National Data Strategy

National data strategies or National Strategies for the Development of Statistics (NSDS) provide a country with a strategy for developing statistical capacity across the entire national statistical system (NSS). It presents the statistics office’s priorities for the next 5-10 years.

Eswatini does not have a national data strategy.

IMF Standards for Data Dissemination

Data dissemination standards enhance the availability of timely and comprehensive statistics, which contributes to sound macroeconomic policies and the efficient functioning of financial markets.

Eswatini is an e-GDDS Subscriber.

Open Data Charter (ODC)

The ODC is a collaboration between over 100 governments and organisations working to open up data based on a shared set of seven principles.

Eswatini has not adopted the charter.

Open Government Partnership (OGP)

OGP is a multilateral initiative that aims to secure concrete commitments from national and subnational governments to promote open government, empower citizens, fight corruption, and harness new technologies to strengthen governance.

Eswatini is not a participant.

Index Comparison

Click on the index name on the vertical axis to view the country data from the managing organization’s website.

All scores have been converted to a 100 point scale.