Country Profile

10
ODIN SCORE
Swaziland
185th GLOBAL RANK
OUT OF 187
7 COVERAGE SCORE
OUT OF 100
12 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 185th in the Open Data Inventory 2020 with an overall score of 10. The overall score is a combination of a data coverage subscore of 7 and a data openness subscore of 12.

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 187
185th 185th 185th
Southern Africa
OUT OF 5
5th 5th 5th

Category Scores

Data Category Coverage Openness    Overall   
Population & vital statistics 0 0 0
Education facilities 0 0 0
Education outcomes 0 0 0
Health facilities 0 0 0
Health outcomes 10 40 25
Reproductive health 10 40 25
Food security & nutrition 25 40 33
Gender statistics 10 40 25
Crime & justice 0 0 0
Poverty & income 0 0 0
Social Statistics subscore 5 16 11
National accounts 25 40 33
Labor 0 0 0
Price indexes 0 0 0
Government finance 50 40 44
Money & banking 0 0 0
International trade 0 0 0
Balance of payments 0 0 0
Economic Statistics subscore 12 11 11
Agriculture & Land Use 0 0 0
Resource use 0 0 0
Energy 33 40 38
Pollution 0 0 0
Built environment 0 0 0
Environment subscore 5 8 7
All Categories 7 12 10
Last updated: July 21, 2021

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 indicators and disaggregations 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.

77%
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Categories that score 0 do not publish the minimum amount of data to receive a score.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.

15
Indicators Lacking Sex Disaggregation

Sex- disaggregated data are important to reflect the realities of men and women in various policy areas and narrow gender inequalities.

100%

Coverage Element Scores, 2020

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.

Indicators and Disaggregation
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. (See exemptions here.)
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. (See exemptions here.)

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 most prominent data portal, if applicable.

NSO Website

Central Statistical Office

Not Available

Openness Element Scores, 2020

Click to see description of each openness element. Scoring critieria 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.
Terms of Use or Data License
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) 2020 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 2020 Indicator List
(1.1) Population data Data Not Available
Population & vital statistics
(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, Date)
Format - PDF (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
MICS KEY FINDINGS Report Swaziland 2015 http://www.gov.sz/ NSO home > Ministries and Departments > Ministry of Economic Planning & Development > Keyword search for report > MICS KEY FINDINGS Report Swaziland 2015, p. 6, Child Health
(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 Not Available
Reproductive health
(6.3) Under-5 mortality rate Data Not Available
Reproductive health
(6.4) Fertility rate Data available
Reproductive health

Dataset Coverage Dataset Openness
Reproductive health Disaggregation - None
Years - 2014
Levels - National Level
Metadata - Complete (Source, Date, Definition)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
MICS KEY FINDINGS Report Swaziland 2015 NSO home http://www.gov.sz/ > "CLICK HERE" > MICS kEY FINDINGS Report Swaziland 2015 > Contraception and unmet need, pg. 9
(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, Date)
Format - PDF (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
MICS kEY FINDINGS Report Swaziland 2015 NSO home > "CLICK HERE" > MICS kEY FINDINGS Report Swaziland 2015 > Figure 5: Use of contraception, Swaziland Multiple Indicator Cluster Survey , 2014, 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, Date)
Format - PDF (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
MICS kEY FINDINGS Report Swaziland 2015 NSO home > "CLICK HERE" > MICS kEY FINDINGS Report Swaziland 2015 > Contraception and unmet need, 2014, 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, Date)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
MICS KEY FINDINGS Report Swaziland 2015 Ministries and Departments > Ministry of Economic Planning & Development > Keyword search for report > 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, Date)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
MICS KEY FINDINGS Report Swaziland 2015 http://www.gov.sz/ NSO home > Ministries and Departments > Ministry of Economic Planning & Development > Keyword search for report > 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, Date)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
MICS KEY FINDINGS Report Swaziland 2015 http://www.gov.sz/ NSO home > Ministries and Departments > Ministry of Economic Planning & Development > Keyword search for report > 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, management or senior positions Data Not Available
Gender statistics
(8.3) Data on child marriages Data available
Gender statistics

Dataset Coverage Dataset Openness
Gender statistics Disaggregation - None
Years - 2014
Levels - National Level
Metadata - Incomplete (Source, Date)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
MICS KEY FINDINGS Report Swaziland 2015 http://www.gov.sz/ NSO home > Ministries and Departments > Ministry of Economic Planning & Development > Keyword search for report > MICS kEY FINDINGS Report Swaziland 2015 > Early marriage and polygamy, pg. 14 "Percentage of people who were first married or in union before age 15"
(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 - 2010, 2011, 2012, 2013, 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
National Accounts - 2011 Benchmark Estimates - Rebased GDP Estimates 2000 to 2011 - Provisional GDP Estimates 2012 to 2014 http://www.gov.sz/ NSO home > Ministries and Departments > Ministry of Economic Planning & Development > National Accounts Report > Table 12, pg. 16 & Table 14, pg. 20
(11.2) Gross domestic product (expenditure approach) Data available
National accounts

Dataset Coverage Dataset Openness
National accounts Disaggregation - Expenditure Categories
Years - 2010, 2011, 2012, 2013, 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
National Accounts - 2011 Benchmark Estimates - Rebased GDP Estimates 2000 to 2011 - Provisional GDP Estimates 2012 to 2014 http://www.gov.sz/ NSO home > Ministries and Departments > Ministry of Economic Planning & Development > National Accounts Report > Table 11, pg. 14 & Table 15, pg. 21
(11.3) Gross domestic product (income approach) Data available
National accounts

Dataset Coverage Dataset Openness
National accounts Disaggregation - Income Components
Years - 2011
Levels - National Level
Metadata - Incomplete (Source)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
National Accounts - 2011 Benchmark Estimates - Rebased GDP Estimates 2000 to 2011 - Provisional GDP Estimates 2012 to 2014 http://www.gov.sz/ NSO home > Ministries and Departments > Ministry of Economic Planning & Development > National Accounts Report > Table 8, pg. 11
(12.1) Employment rate Data Not Available
Labor
(12.2) Employment distribution Data Not Available
Labor
(12.3) Unemployment rate Data Not Available
Labor
(13.1) Consumer price index Data Not Available
Price indexes
(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
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
Budget estimates 2019-2022 http://www.gov.sz/index.php 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
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
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 & Land Use
(18.2) Data on protected lands Data Not Available
Agriculture & Land Use
(18.3) Commondity production Data Not Available
Agriculture & 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 available
Energy

Dataset Coverage Dataset Openness
Energy Disaggregation - Energy Commodity, Sector
Years - 2010,
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
Department of Energy - Sustainable Energy for All (SE4ALL) http://www.gov.sz/index.php Main portal (top part of website) > Ministries and Departments > Ministry of Natural Resources and Energy > Department of Energy > Download Documents > Sustainable Energy for All (SE4ALL) > page 7 > Table 2.5: Energy Balance of Swaziland, 2010 (TJ)
(20.2) Energy supply Data available
Energy

Dataset Coverage Dataset Openness
Energy Disaggregation - Energy Commodity
Years - 2010/2011
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
Department of Energy - Sustainable Energy for All (SE4ALL) http://www.gov.sz/index.php Main portal (top part of website) > Ministries and Departments > Ministry of Natural Resources and Energy > Department of Energy > Download Documents > Sustainable Energy for All (SE4ALL) > page 5 > Table 2.2: Energy Production and Imports for Swaziland, 2010/2011
(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 Not Available
Built environment
(22.2) Proportion of households with access to sanitation Data Not Available
Built environment
(22.3) Number of rooms or bedrooms Data Not Available
Built environment
(22.4) Access to electricity Data Not Available
Built environment
(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 schedule a meeting to learn more about how to implement these recommendations, Contact Us.

50 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
(1.1) Population data Sex, Marital Status, 5-Year Age Groups
(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
(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
(6.2) Infant mortality rate or neonatal mortality rate Sex
(6.3) Under-5 mortality rate Sex
(7.1) Prevalence of undernourishment None
(7.2) Prevalence of moderate or severe food insecurity None
(8.1) Proportion of women who are victims of physical, sexual, or psychological violence Age, Disability Status, Relationship To Perpetrator
(8.2) Proportion of women in government, management or senior positions None
(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
(12.1) Employment rate Sex, Age
(12.2) Employment distribution Industry, Occupation, Sex
(12.3) Unemployment rate Sex, Age
(13.1) Consumer price index None
(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) Commondity 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 Activity Type
(19.4) Water consumption Sector
(21.1) Greenhouse gas emissions Gas Type
(21.2) Emissions of air or water pollutants Pollutant Type
(22.1) Proportion of households with access to water Water Supply Type
(22.2) Proportion of households with access to sanitation Sanitation Facility Type
(22.3) Number of rooms or bedrooms None
(22.4) Access to electricity Access Type
(22.5) Data on housing construction materials Material Type

2 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

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
Central Statistical Office http://www.swazistats.org.sz

15 ODIN indicators were available in datasets that were not made available for all years in a machine readable format. 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
(5.1) Immunization rate MICS KEY FINDINGS Report Swaziland 2015 PDF (np);
(6.4) Fertility rate MICS KEY FINDINGS Report Swaziland 2015 PDF (np)
(6.5) Contraceptive prevalence rate MICS kEY FINDINGS Report Swaziland 2015 PDF (np);
(6.6) Adolescent birth rate MICS kEY FINDINGS Report Swaziland 2015 PDF (np);
(7.3) Prevalence of obesity MICS KEY FINDINGS Report Swaziland 2015 PDF (np)
(7.4) Prevalence of stunting MICS KEY FINDINGS Report Swaziland 2015 PDF (np)
(7.5) Prevalence of wasting MICS KEY FINDINGS Report Swaziland 2015 PDF (np)
(8.3) Data on child marriages MICS KEY FINDINGS Report Swaziland 2015 PDF (np)
(11.1) Gross domestic product (production approach) National Accounts - 2011 Benchmark Estimates - Rebased GDP Estimates 2000 to 2011 - Provisional GDP Estimates 2012 to 2014 PDF (np);
(11.2) Gross domestic product (expenditure approach) National Accounts - 2011 Benchmark Estimates - Rebased GDP Estimates 2000 to 2011 - Provisional GDP Estimates 2012 to 2014 PDF (np);
(11.3) Gross domestic product (income approach) National Accounts - 2011 Benchmark Estimates - Rebased GDP Estimates 2000 to 2011 - Provisional GDP Estimates 2012 to 2014 PDF (np)
(14.1) Actual revenues Budget estimates 2019-2022 PDF (np)
(14.2) Actual expenditures Budget Estimates 2020 to 2023 PDF (np)
(20.1) Energy consumption Department of Energy - Sustainable Energy for All (SE4ALL) PDF (np);
(20.2) Energy supply Department of Energy - Sustainable Energy for All (SE4ALL) PDF (np)

14 ODIN indicators were available in datasets that were not made available for all years with complete metadata. 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
(5.1) Immunization rate MICS KEY FINDINGS Report Swaziland 2015 Definition
(6.5) Contraceptive prevalence rate MICS kEY FINDINGS Report Swaziland 2015 Definition
(6.6) Adolescent birth rate MICS kEY FINDINGS Report Swaziland 2015 Definition
(7.3) Prevalence of obesity MICS KEY FINDINGS Report Swaziland 2015 Definition
(7.4) Prevalence of stunting MICS KEY FINDINGS Report Swaziland 2015 Definition
(7.5) Prevalence of wasting MICS KEY FINDINGS Report Swaziland 2015 Definition
(8.3) Data on child marriages MICS KEY FINDINGS Report Swaziland 2015 Definition
(11.1) Gross domestic product (production approach) National Accounts - 2011 Benchmark Estimates - Rebased GDP Estimates 2000 to 2011 - Provisional GDP Estimates 2012 to 2014 Date, Definition
(11.2) Gross domestic product (expenditure approach) National Accounts - 2011 Benchmark Estimates - Rebased GDP Estimates 2000 to 2011 - Provisional GDP Estimates 2012 to 2014 Date, Definition
(11.3) Gross domestic product (income approach) National Accounts - 2011 Benchmark Estimates - Rebased GDP Estimates 2000 to 2011 - Provisional GDP Estimates 2012 to 2014 Date, Definition
(14.1) Actual revenues Budget estimates 2019-2022 Date
(14.2) Actual expenditures Budget Estimates 2020 to 2023 Date
(20.1) Energy consumption Department of Energy - Sustainable Energy for All (SE4ALL) Date
(20.2) Energy supply Department of Energy - Sustainable Energy for All (SE4ALL) Date

15 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
(5.1) Immunization rate Age, Sex MICS KEY FINDINGS Report Swaziland 2015 2014
(6.4) Fertility rate None MICS KEY FINDINGS Report Swaziland 2015 2014
(6.5) Contraceptive prevalence rate None MICS kEY FINDINGS Report Swaziland 2015 2014
(6.6) Adolescent birth rate None MICS kEY FINDINGS Report Swaziland 2015 2014
(7.3) Prevalence of obesity Sex, Age MICS KEY FINDINGS Report Swaziland 2015 2014
(7.4) Prevalence of stunting Sex, Age MICS KEY FINDINGS Report Swaziland 2015 2014
(7.5) Prevalence of wasting Sex, Age MICS KEY FINDINGS Report Swaziland 2015 2014
(8.3) Data on child marriages None MICS KEY FINDINGS Report Swaziland 2015 2014
(11.1) Gross domestic product (production approach) Industry National Accounts - 2011 Benchmark Estimates - Rebased GDP Estimates 2000 to 2011 - Provisional GDP Estimates 2012 to 2014 2010, 2011, 2012, 2013, 2014
(11.2) Gross domestic product (expenditure approach) Expenditure Categories National Accounts - 2011 Benchmark Estimates - Rebased GDP Estimates 2000 to 2011 - Provisional GDP Estimates 2012 to 2014 2010, 2011, 2012, 2013, 2014
(11.3) Gross domestic product (income approach) Income Components National Accounts - 2011 Benchmark Estimates - Rebased GDP Estimates 2000 to 2011 - Provisional GDP Estimates 2012 to 2014 2011
(14.1) Actual revenues Revenue Source Budget estimates 2019-2022 2016/2017, 2017/2018, 2018/2019
(14.2) Actual expenditures Administrative Classification, Economic Classification, Functional Classification Budget Estimates 2020 to 2023 2017/2018, 2018/2019
(20.1) Energy consumption Energy Commodity, Sector Department of Energy - Sustainable Energy for All (SE4ALL) 2010
(20.2) Energy supply Energy Commodity Department of Energy - Sustainable Energy for All (SE4ALL) 2010/2011

14 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
(5.1) Immunization rate Age, Sex RZ 6/25/20: I was not able to find the full version of the report so had to take away sex. Giving them full metadata based on below note from last assessment. TW: changed metadata to complete due to the following Compilation period: The data was collected by eight teams; each comprised five interviewers, one driver, one editor, one measurer and a supervisor. Fieldwork began in July 2014 and concluded in October 2014. (p. 6) Source: The 2014 Swaziland MICS was implemented in collabora on with various ministries and agencies, including the Deputy Prime Minister’s O ce, the Ministry of Health, the Ministry of Education and Training, the Ministry of Natural Resources and Energy, the Na onal Emergency Response Council on HIV/AIDS (NERCHA), and United Na ons agencies. This report presents results of the 2014 Swaziland MICS. (p. xvi) Definition: see p. v -The main report is no longer available on the redesigned NSO website. Reviewer comments (TW from ODIN2018) for Complete Metadata are based on the main report (unavailable now), so changing Metadata to Incomplete (http://www.swazistats.org.sz/images/reports/Multiple%20Indicator%20Cluster%20Survey%202014.pdf), CK 2014
(6.4) Fertility rate None Not using the full version since it's not available 2014
(6.5) Contraceptive prevalence rate None Not able to use the full version of publication 2014
(6.6) Adolescent birth rate None Not able to use the full version of publication 2014
(7.3) Prevalence of obesity Sex, Age -updated Navigation, CK 2014
(7.4) Prevalence of stunting Sex, Age -updated navigation, CK 2014
(7.5) Prevalence of wasting Sex, Age -Updated Navigation, CK 2014
(8.3) Data on child marriages None -Updated Navigation, CK 2014
(11.1) Gross domestic product (production approach) Industry National Accounts - 2011 Benchmark Estimates - Rebased GDP Estimates 2000 to 2011 - Provisional GDP Estimates 2012 to 2014 2010, 2011, 2012, 2013, 2014
(11.2) Gross domestic product (expenditure approach) Expenditure Categories National Accounts - 2011 Benchmark Estimates - Rebased GDP Estimates 2000 to 2011 - Provisional GDP Estimates 2012 to 2014 2010, 2011, 2012, 2013, 2014
(11.3) Gross domestic product (income approach) Income Components 2011
(14.2) Actual expenditures Administrative Classification, Economic Classification, Functional Classification -Data for only 2 years. CK 2017/2018, 2018/2019
(20.1) Energy consumption Energy Commodity, Sector Metadata: source and definition in document, can't find publication date More than 3 energy types listed. -Updated Navigation, CK 2010
(20.2) Energy supply Energy Commodity -Updated Navigation, CK -Added Definition, CK 2010/2011

13 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 MICS KEY FINDINGS Report Swaziland 2015
(6.4) Fertility rate None MICS KEY FINDINGS Report Swaziland 2015
(6.5) Contraceptive prevalence rate None MICS kEY FINDINGS Report Swaziland 2015
(6.6) Adolescent birth rate None MICS kEY FINDINGS Report Swaziland 2015
(7.3) Prevalence of obesity Sex, Age MICS KEY FINDINGS Report Swaziland 2015
(7.4) Prevalence of stunting Sex, Age MICS KEY FINDINGS Report Swaziland 2015
(7.5) Prevalence of wasting Sex, Age MICS KEY FINDINGS Report Swaziland 2015
(8.3) Data on child marriages None MICS KEY FINDINGS Report Swaziland 2015
(11.1) Gross domestic product (production approach) Industry National Accounts - 2011 Benchmark Estimates - Rebased GDP Estimates 2000 to 2011 - Provisional GDP Estimates 2012 to 2014
(11.2) Gross domestic product (expenditure approach) Expenditure Categories National Accounts - 2011 Benchmark Estimates - Rebased GDP Estimates 2000 to 2011 - Provisional GDP Estimates 2012 to 2014
(11.3) Gross domestic product (income approach) Income Components National Accounts - 2011 Benchmark Estimates - Rebased GDP Estimates 2000 to 2011 - Provisional GDP Estimates 2012 to 2014
(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

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 Capacity Indicators

The World Bank’s Statistical Capacity Indicator is a composite score assessing the capacity of a country’s statistical system. It is based on a diagnostic framework assessing the following areas: methodology; data sources; and periodicity and timeliness. For more information, click the scores below.

Overall Score
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Methodology Subscore
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Source Data Subscore
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Periodicity Subscore
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Scores are only available for low- to middle-income countries.

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.

Read the Swaziland Vision 2022 strategic plan for Eswatini.

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 not a participant

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.