Country Profile

12
ODIN SCORE
Anguilla
184th GLOBAL RANK
OUT OF 187
12 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. Anguilla ranks 184th in the Open Data Inventory 2020 with an overall score of 12. The overall score is a combination of a data coverage subscore of 12 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
183rd 184th 184th
Caribbean
OUT OF 12
11th 11th 11th

Category Scores

Data Category Coverage Openness    Overall   
Population & vital statistics 50 50 50
Education facilities 0 0 0
Education outcomes 0 0 0
Health facilities 0 0 0
Health outcomes 0 0 0
Reproductive health 0 0 0
Food security & nutrition 0 0 0
Gender statistics 25 40 33
Crime & justice 0 0 0
Poverty & income 0 0 0
Social Statistics subscore 8 9 8
National accounts 33 40 38
Labor 0 0 0
Price indexes 50 30 38
Government finance 100 20 50
Money & banking 33 50 44
International trade 17 50 38
Balance of payments 0 0 0
Economic Statistics subscore 32 27 29
Agriculture & Land Use 0 0 0
Resource use 0 0 0
Energy 0 0 0
Pollution 0 0 0
Built environment 0 0 0
Environment subscore 0 0 0
All Categories 12 12 12
Last updated: December 2, 2020

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.

80%
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Categories that score 0 do not publish the minimum amount of data to receive a score.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.

71%

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

Anguilla Statistics Department

Not Available
NSO Data Portal

Anguilla Statistics Department

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 available
Population & vital statistics

Dataset Coverage Dataset Openness
Population & vital statistics Disaggregation - Sex, 5-Year Age Groups
Years - 2011,
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
Format - HTML (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Draft Population Projections for Anguilla over the period 2002 to 2011 Population Projections from 2002 to 2006 and 2007 to 2011 by Five Year Age Groups and Sex Assuming Migration of 200 Per Year Concentrated in Prime Working Age Group and Male
(1.2) Birth rate Data available
Population & vital statistics

Dataset Coverage Dataset Openness
Population & vital statistics Disaggregation - Sex
Years - 2010, 2011, 2012, 2013, 2014, 2015
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
Format - HTML (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Annual Live Births and Deaths 1994 - 2015 Table 10.2.5
(1.3) Death rate Data available
Population & vital statistics

Dataset Coverage Dataset Openness
Population & vital statistics Disaggregation - Sex
Years - 2010, 2011, 2012, 2013, 2014, 2015
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
Format - HTML (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Annual Live Births and Deaths 1994 - 2015 Table 10.2.5
(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 Not Available
Health outcomes
(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 Not Available
Reproductive health
(6.5) Contraceptive prevalence rate Data Not Available
Reproductive health
(6.6) Adolescent birth rate Data Not Available
Reproductive health
(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 Not Available
Food security & nutrition
(7.4) Prevalence of stunting Data Not Available
Food security & nutrition
(7.5) Prevalence of wasting Data Not Available
Food security & nutrition
(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 available
Gender statistics

Dataset Coverage Dataset Openness
Gender statistics Disaggregation - None
Years - 2010, 2011, 2012, 2013,
Levels - National Level,
Metadata - Incomplete (Date)
Format - HTML (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Ministry of Government by sex of Minister and Permenant Secretary; Department of Government by Sex of Head Table 10.2.6-10.2.9, 10.2.15-10.2.18
(8.3) Data on child marriages Data Not Available
Gender statistics
(9.1) Homicide rate Data Not Available
Crime & justice
(9.2) Crime rate Data available
Crime & justice

Dataset Coverage Dataset Openness
Crime & justice Disaggregation - Crime Type
Years - 2010,
Levels - National Level,
Metadata - Incomplete (Source, Date)
Format - HTML (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Number of Reported Crimes by Month and Offence: 2008 - 2010 Table 8.4
(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,
Levels - National Level,
Metadata - Incomplete (Source, Definition)
Format - HTML (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Gross Value Added by Economic Activity in Current Prices: 2000 to 2012 Table 1 Gross Value Added by Economic Activity in Current Prices: 2000 to 2012 (EC$M)
Gross Value Added by Economic Activity in Constant (2006) Prices : 2000 to 2012 Table 2 Gross Value Added by Economic Activity in Constant (2006) Prices : 2000 to 2012 (EC$M)
(11.2) Gross domestic product (expenditure approach) Data available
National accounts

Dataset Coverage Dataset Openness
National accounts Disaggregation - Expenditure Categories
Years - 2010, 2011, 2012,
Levels - National Level,
Metadata - Incomplete (Source, Definition)
Format - HTML (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Expenditure on the Gross Domestic Product in Current Prices Table 12 Expenditure on the Gross Domestic Product in Current Prices
(11.3) Gross domestic product (income approach) Data available
National accounts

Dataset Coverage Dataset Openness
National accounts Disaggregation - Income Components
Years - 2010, 2011, 2012
Levels - National Level
Metadata - Incomplete (Source, Definition)
Format - HTML (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Gross Value Added by Economic Activity in Current Prices: 2000 to 2012 Table 1
(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 available
Price indexes

Dataset Coverage Dataset Openness
Price indexes Disaggregation - None
Years - 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
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
Anguilla's Consumer Price Index 4th Quarter: October - December 2017 http://www.gov.ai/statistics/statistics.htm > Anguilla's Consumer Price Index 4th Quarter: October - December 2017
Anguilla's Consumer Price Index 4th Quarter: October - December 2016 http://www.gov.ai/statistics/statistics.htm >Anguilla's Consumer Price Index 4th Quarter: October - December 2016
Anguilla's Consumer Price Index 4th Quarter: October - December 2015 http://www.gov.ai/statistics/statistics.htm >Anguilla's Consumer Price Index 4th Quarter: October - December 2015
Anguilla's Consumer Price Index 4th Quarter: October - December 2010 http://www.gov.ai/statistics/statistics.htm >Anguilla's Consumer Price Index 4th Quarter: October - December 2010
Anguilla's Consumer Price Index 4th Quarter: October - December 2019 http://www.gov.ai/statistics/statistics.htm >Anguilla's Consumer Price Index 4th Quarter: October - December 2019
(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 - 2014, 2015, 2016, 2017, 2018, 2019
Levels - National Level,
Metadata - None ()
Format - PDF (np);
Download Options - No download options,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
2018 Estimates of Recurrent Revenue Expenditure & Capital Pg. 60-64
2017 Estimates of Recurrent Revenue Expenditure & Capital Pg. 52-56
2016 Estimates of Recurrent Revenue Expenditure & Capital Pg. 43-47
2019 Estimates of Recurrent Revenue Expenditure & Capital PG. 62-67
(14.2) Actual expenditures Data available
Government finance

Dataset Coverage Dataset Openness
Government finance Disaggregation - Administrative Classification
Years - 2014, 2015, 2016, 2017, 2018, 2019
Levels - National Level,
Metadata - None ()
Format - PDF (np);
Download Options - No download options,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
2018 Estimates of Recurrent Revenue Expenditure & Capital Pg. 67
2017 Estimates of Recurrent Revenue Expenditure & Capital Pg. 59
2016 Estimates of Recurrent Revenue Expenditure & Capital Pg. 50
2019 Estimates of Recurrent Revenue Expenditure & Capital Pg. 70
(15.1) Money supply Data Not Available
Money & banking
(15.2) Interest rates Data available
Money & banking

Dataset Coverage Dataset Openness
Money & banking Disaggregation - Rate Type
Years - 2010, 2011, 2012, 2013, 2014,
Levels - National Level,
Metadata - Incomplete (Source, Date)
Format - HTML (np)
Download Options - User Selected, Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
COMMERCIAL BANKS' SELECTED INTERESTS RATES DEC 1991 - DEC 2014 (EC$' 000) Table 2.1.23
(16.1) Merchandise exports Data Not Available
International trade
(16.2) Merchandise imports Data available
International trade

Dataset Coverage Dataset Openness
International trade Disaggregation - Product Categories
Years - 2010,
Levels - National Level,
Metadata - Complete (Source, Date, Definition)
Format - HTML (np);
Download Options - Bulk Download,
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
External Economy & Tourism Table 6.11
(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 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 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.

52 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
(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
(5.1) Immunization rate Age, Sex
(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
(6.4) Fertility rate None
(6.5) Contraceptive prevalence rate None
(6.6) Adolescent birth rate None
(7.1) Prevalence of undernourishment None
(7.2) Prevalence of moderate or severe food insecurity None
(7.3) Prevalence of obesity Sex, Age
(7.4) Prevalence of stunting Sex, Age
(7.5) Prevalence of wasting Sex, Age
(8.1) Proportion of women who are victims of physical, sexual, or psychological violence Age, Disability Status, Relationship To Perpetrator
(8.3) Data on child marriages None
(9.1) Homicide rate 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
(13.2) Producers price index None
(15.1) Money supply Money Aggregates
(16.1) Merchandise exports 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
(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
(22.1) 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

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
Anguilla Statistics Department http://www.gov.ai/statistics

No data license or terms of use for data on the portal 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 portal and website where a data license or terms of use for data could not be found.

NSO Name Website
Anguilla Statistics Department  

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
-%
Methodology Subscore
-%
Source Data Subscore
-%
Periodicity Subscore
-%

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  Statistics Strategic Plan 2005-9 for Anguilla.

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.

Anguilla 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.

Anguilla 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.

Anguilla is not a participant.