Country Profile

30
ODIN SCORE
Palau
169th GLOBAL RANK
OUT OF 187
38 COVERAGE SCORE
OUT OF 100
24 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. Palau ranks 169th in the Open Data Inventory 2020 with an overall score of 30. The overall score is a combination of a data coverage subscore of 38 and a data openness subscore of 24.

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
147th 177th 169th
Pacific Islands
OUT OF 8
4th 7th 6th

Category Scores

Data Category Coverage Openness    Overall   
Population & vital statistics 63 30 44
Education facilities 0 0 0
Education outcomes 38 40 39
Health facilities 38 40 39
Health outcomes 0 0 0
Reproductive health 0 0 0
Food security & nutrition 0 0 0
Gender statistics 0 0 0
Crime & justice 75 40 56
Poverty & income 13 40 28
Social Statistics subscore 23 19 21
National accounts 50 50 50
Labor 63 40 50
Price indexes 50 30 38
Government finance 100 30 56
Money & banking 50 30 38
International trade 50 40 44
Balance of payments 100 30 56
Economic Statistics subscore 66 36 47
Agriculture & Land Use 0 0 0
Resource use 0 0 0
Energy 67 40 50
Pollution 0 0 0
Built environment 75 40 56
Environment subscore 29 16 21
All Categories 38 24 30
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.

54%
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Categories that score 0 do not publish the minimum amount of data to receive a score.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.

8
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.

48%

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

Office of Planning & Statistics

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 (1 of 2 datasets)
Population & vital statistics

Dataset Coverage Dataset Openness
Population & vital statistics Disaggregation - Sex, Marital Status, 5-Year Age Groups
Years - 2015
Levels - Admin 1, 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
2015 Census of Population, Housing and Agriculture for the Republic of Palau Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > Census of Population and Housing > 2015 Census of Population, Housing and Agriculture Tables > Page 16 > Table 6 Age and Marital Status by Usual Residence
(1.1) Population data Data available (2 of 2 datasets)
Population & vital statistics

Dataset Coverage Dataset Openness
Population & vital statistics Disaggregation - Sex, 5-Year Age Groups
Years - 2012
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
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 2.6 Age Distribution by Sex; Urban & Rural Population: 2012
(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, 2016, 2017, 2018, 2019
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
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 12.6. Registered Live Births by Sex and Age of Mother: 2012 to 2019
2012 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2012 Statistical Yearbook > Table 12.7 Registered Live Births by Sex and Age of Mother: 2007 to 2012
(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, 2016, 2017, 2018, 2019
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
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 12.9 Age Group and Sex by Registered Deaths: 2012 to 2019
2012 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2012 Statistical Yearbook > Table 12.10 Registered Deaths by Age Group and Sex: 2007 to 2012
(2.1) Number of schools or classrooms Data Not Available
Education facilities
(2.2) Number of teaching staff Data available
Education facilities

Dataset Coverage Dataset Openness
Education facilities Disaggregation - School Type
Years - 2009/2010, 2010/2011, 2011/2012, 2012/2013, 2013/2014, 2014/2015, 2015/2016, 2016/2017, 2017/2018, 2018/2019
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
2019 Statistical Yearbook HOME https://www.palaugov.pw/ > EXECUTIVE BRANCH > MINISTRIES > MINISTRY OF FINANCE > BUREAU OF BUDGET & PLANNING > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 11.12 Teacher-Student Ratio in Public and Private Schools: SY 2013-2014 to SY 2019-2020 (no page numbers)
2012 Statistical Yearbook HOME https://www.palaugov.pw/ > EXECUTIVE BRANCH > MINISTRIES > MINISTRY OF FINANCE > BUREAU OF BUDGET & PLANNING > ROP Statistical Yearbooks > 2012 Statistical Yearbook > Table 11.12 Teacher-Student Ratio in Public and Private Schools: SY 2007-2008 to SY 2012-2013 (no page numbers)
(2.3) Education expenditures Data Not Available
Education facilities
(3.1) Enrollment rate Data available (1 of 3 datasets)
Education outcomes

Dataset Coverage Dataset Openness
Education outcomes Disaggregation - Sex, Age, School Stage
Years - 2015
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
2015 Census of Population, Housing and Agriculture Tables Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning >Census of Population and Housing > 2015 Census of Population, Housing and Agriculture Tables > Page 76 > Table 63 > Student Enrollment and Type of School
(3.1) Enrollment rate Data available (2 of 3 datasets)
Education outcomes

Dataset Coverage Dataset Openness
Education outcomes Disaggregation - Sex, School Type
Years - 2009/2010, 2010/2011, 2011/2012, 2012/2013, 2013/2014, 2014/2015, 2015/2016, 2016/2017, 2017/2018, 2018/2019
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
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning >ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 11.3 Public & Private Elementary and Secondary School Enrollment by Sex & School Year: 2013-2014 to 2019-2020 (no page numbers)
2012 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning >ROP Statistical Yearbooks > 2012 Statistical Yearbook > Table 11.3 Public & Private Elementary and Secondary School Enrollment by Sex & School Year: 2003-2004 to 2012-2013 (no page numbers)
(3.1) Enrollment rate Data available (3 of 3 datasets)
Education outcomes

Dataset Coverage Dataset Openness
Education outcomes Disaggregation - School Type
Years - 2009/2010, 2010/2011, 2011/2012, 2012/2013, 2013/2014, 2014/2015, 2015/2016, 2016/2017, 2017/2018, 2018/2019
Levels - National Level
Metadata - Incomplete (Source)
Format - XLS (r); HTML (np)
Download Options - No download options
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Public and Private Elementary and Secondary School Enrollment by School Year Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > Education > Public and Private Elementary and Secondary School Enrollment by School Year: 2003-2007 to 2018-2019
(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 available
Health facilities

Dataset Coverage Dataset Openness
Health facilities Disaggregation - Facility Type, Staff Type
Years - 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
2019 Statistical Yearbook HOME https://www.palaugov.pw/ > EXECUTIVE BRANCH > MINISTRIES > MINISTRY OF FINANCE > BUREAU OF BUDGET & PLANNING > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 12.12 Number of Nurses and 12.13 Type of Doctors (no page numbers)
(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 available
Reproductive health

Dataset Coverage Dataset Openness
Reproductive health Disaggregation - None
Years - 2012, 2015
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
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 2.8 Age Specific Fertility Rate and Total Fertility Rate by Women 15-49 Years: 1995, 2000, 2005, 2012 & 2015 (no page numbers)
(6.5) Contraceptive prevalence rate Data Not Available
Reproductive health
(6.6) Adolescent birth rate Data available
Reproductive health

Dataset Coverage Dataset Openness
Reproductive health Disaggregation - None
Years - 2012, 2015
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
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 2.8 Age Specific Fertility Rate and Total Fertility Rate by Women 15-49 Years: 1995, 2000, 2005, 2012 & 2015 > Age Group 15-19 (no page numbers)
(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 Not Available
Gender statistics
(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 (1 of 2 datasets)
Crime & justice

Dataset Coverage Dataset Openness
Crime & justice Disaggregation - Crime Type, Sex Of Perpetrator
Years - 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
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
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 5.2 Crime Statistics by Type: 2017 to 2019
2016 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2016 Statistical Yearbook > Table 5.2 Crime Statistics by Type: 2012 to 2016
2012 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2012 Statistical Yearbook > Table 5.2 Crime Statistics by Type: 2007 to 2012
(9.2) Crime rate Data available (2 of 2 datasets)
Crime & justice

Dataset Coverage Dataset Openness
Crime & justice Disaggregation - Crime Type
Years - 2012, 2013, 2014, 2015, 2016, 2017, 2018
Levels - National Level
Metadata - Incomplete (Source)
Format - XLS (r); HTML (np)
Download Options - No download options
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Crime Statistics by Category: 2012 to 2018 Bureau of Budget & Planning > Crime > Crime Statistics by Category: 2012 to 2018
(9.3) Data on prison population Data available
Crime & justice

Dataset Coverage Dataset Openness
Crime & justice Disaggregation - Age, Sex
Years - 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
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
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning >ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 5.3 Prison Population by Sex and Age Group: 2015 to 2019 (no page numbers)
2016 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning >ROP Statistical Yearbooks > 2016 Statistical Yearbook > Table 5.3 Prison Population by Sex and Age Group: 2012 to 2016 (no page numbers)
2012 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning >ROP Statistical Yearbooks > 2012 Statistical Yearbook > Table 5.3 Prison Population by Sex and Age Group: 2007 to 2012 (no page numbers)
(10.1) Poverty rate Data Not Available
Poverty & income
(10.2) Distribution of income by deciles or Gini coefficient Data available
Poverty & income

Dataset Coverage Dataset Openness
Poverty & income 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
2014 Household Income & Expenditure Survey Report Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > 2014 Household Income & Expenditure Survey Report > Page 63 > Table 43: Annual and monthly average household total income (in USD) by deciles and quintiles
(11.1) Gross domestic product (production approach) Data available (1 of 2 datasets)
National accounts

Dataset Coverage Dataset Openness
National accounts Disaggregation - Industry
Years - 2014, 2015, 2016, 2017, 2018
Levels - National Level
Metadata - Incomplete (Source)
Format - XLSX (r, np)
Download Options - No download options
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
National Accounts - FY2018 Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > National Accounts > FY2018 > Table 1c. Current Price GDP(P) Production by Industry, FY2014 to FY2018
(11.1) Gross domestic product (production approach) Data available (2 of 2 datasets)
National accounts

Dataset Coverage Dataset Openness
National accounts Disaggregation - Industry
Years - 2013, 2014, 2015, 2016, 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
National Accounts - FY2017 Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > National Accounts > FY2017 > Table 1c. Current Price GDP(P) Production by Industry, FY2013 to FY2017
(11.2) Gross domestic product (expenditure approach) Data Not Available
National accounts
(11.3) Gross domestic product (income approach) Data Not Available
National accounts
(12.1) Employment rate Data available
Labor

Dataset Coverage Dataset Openness
Labor Disaggregation - Sex
Years - 2015
Levels - National Level
Metadata - Incomplete (Source)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 4.10 Employment - Population Ratio by Sex: 1995 to 2015 (no page numbers)
(12.2) Employment distribution Data available (1 of 2 datasets)
Labor

Dataset Coverage Dataset Openness
Labor Disaggregation - Occupation, Sex
Years - 2015
Levels - Admin 1, National Level
Metadata - Incomplete (Source)
Format - PDF (np)
Download Options - No download options
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 4.4b Employed Population by Occupation, Sex and State of Residence: 2015 (no page numbers)
(12.2) Employment distribution Data available (2 of 2 datasets)
Labor

Dataset Coverage Dataset Openness
Labor Disaggregation - Industry
Years - 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
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
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 4.6 Employment by institutional sector, numbers, FY2013-FY2019 (no page numbers)
2012 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 4.6 Employment by institutional sector, numbers, FY2007-FY2012 (no page numbers)
(12.3) Unemployment rate Data available
Labor

Dataset Coverage Dataset Openness
Labor Disaggregation - Sex
Years - 2015
Levels - National Level
Metadata - Incomplete (Source)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 4.2b Labor Force Participation by Sex and Birthplace: 2015 > Unemployed > Percent of labor force (no page numbers)
(13.1) Consumer price index Data available (1 of 3 datasets)
Price indexes

Dataset Coverage Dataset Openness
Price indexes Disaggregation - None
Years - 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
Palau CPI Publication Q1 2020 Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > Consumer Price Index (CPI) > Quarterly Release > Palau CPI Publication Q1 2020
(13.1) Consumer price index Data available (2 of 3 datasets)
Price indexes

Dataset Coverage Dataset Openness
Price indexes Disaggregation - None
Years - 2010, 2011, 2012, 2013, 2014, 2015, 2016
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
Palau CPI Publication Q4 2016 Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > Consumer Price Index (CPI) > Quarterly Release > Palau CPI Publication Q4 2016
(13.1) Consumer price index Data available (3 of 3 datasets)
Price indexes

Dataset Coverage Dataset Openness
Price indexes Disaggregation - None
Years - 2010, 2011, 2012, 2013
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
Palau CPI Publication Q1 2014 Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > Consumer Price Index (CPI) > Quarterly Release > Palau CPI Publication Q1 2014
(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 - 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
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
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 6.1 National Government Finances (GFS 2014 format, summary), FY2015 to FY2019 > Revenue (no page numbers)
2016 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning >ROP Statistical Yearbooks > 2016 Statistical Yearbook > Table 6.1 Republic of Palau Government Financial Statement, FY2012-FY2015: Summary > Revenue
2011 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2012 Statistical Yearbook > Table 6.1 Republic of Palau Government Financial Statement: FY2007-FY2011 > Revenue
(14.2) Actual expenditures Data available
Government finance

Dataset Coverage Dataset Openness
Government finance Disaggregation - Functional Classification
Years - 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
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
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning >ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 6.1 National Government Finances (GFS 2014 format, summary), FY2015 to FY2019 > Expenses
2016 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning >ROP Statistical Yearbooks > 2016 Statistical Yearbook > Table 6.1 Republic of Palau Government Financial Statement, FY2012-FY2015: Summary > Expenses
2011 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning >ROP Statistical Yearbooks > 2012 Statistical Yearbook > Table 6.1 Republic of Palau Government Financial Statement: FY2007-FY2011 > Expenses
(15.1) Money supply Data available
Money & banking

Dataset Coverage Dataset Openness
Money & banking Disaggregation - Money Aggregates
Years - 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
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
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning >ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 6.3 Assets and liabilities of deposit money banks, March 2015 - September 2019 (no page numbers)
2015 Statistical Yearbook H ome https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning >ROP Statistical Yearbooks > 2015 Statistical Yearbook > Table 6.4 Assets and liabilities of deposit money banks, March 2013 - December 2015 (no page numbers)
2012 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning >ROP Statistical Yearbooks > 2012 Statistical Yearbook > Table 6.4 Assets and liabilities of deposit money banks, March 2011 - September 2012 (no page numbers)
(15.2) Interest rates Data available
Money & banking

Dataset Coverage Dataset Openness
Money & banking Disaggregation - Rate Type
Years - 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
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
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning >ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 6.2 Interest Rates on deposits and loans, deposit money banks, March 2015 - September 2019 (no page numbers)
2015 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning >ROP Statistical Yearbooks > 2015 Statistical Yearbook > Table 6.2 Interest Rates on deposits and loans, deposit money banks, March 2013 - December 2015 (no page numbers)
2012 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning >ROP Statistical Yearbooks > 2012 Statistical Yearbook > Table 6.4 Assets and liabilities of deposit money banks, March 2011 - September 2012 (no page numbers)
(16.1) Merchandise exports Data available
International trade

Dataset Coverage Dataset Openness
International trade Disaggregation - Product Categories
Years - 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
International Merchandise Trade Statistics Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau Bureau of Budget & Planning > International Merchandise Trade Statistics > Page 19 > Table 3 Exports by HS
(16.2) Merchandise imports Data available
International trade

Dataset Coverage Dataset Openness
International trade Disaggregation - Product Categories
Years - 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019
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
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 8.1 Imports by Harmonized System Sections (HS), FY2015 to FY2019 (no page numbers)
2015 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau ROP Statistical Yearbooks > 2015 Statistical Yearbook > Table 8.1 Imports by Harmonized System Sections (HS), FY2008 to FY2015 (no page numbers)


(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 (1 of 2 datasets)
Energy

Dataset Coverage Dataset Openness
Energy Disaggregation - Sector
Years - 2012, 2013, 2014, 2015, 2016
Levels - National Level
Metadata - Incomplete (Source)
Format - HTML (np)
Download Options - No download options
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Consumption of Electricity by Type of Customers, (KwH ‘000), 2012-2016 Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > Utility > Consumption of Electricity by Type of Customers, (KwH ‘000), 2012-2016
(20.1) Energy consumption Data available (2 of 2 datasets)
Energy

Dataset Coverage Dataset Openness
Energy Disaggregation - Energy Commodity, Sector
Years - 2014, 2015, 2016
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
Palau Experimental Energy & Water Accounts Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > System of Environmental-Economic Accounting (SEEA) > Palau Experimental Energy & Water Accounts > TABLE A4 thru A6. ENERGY PHYSICAL SUPPLY AND USE TABLE, PALAU, FY2014-2016 (GJ) > Physical Use Table, pp. 24-26
(20.2) Energy supply Data available
Energy

Dataset Coverage Dataset Openness
Energy Disaggregation - Energy Commodity
Years - 2014, 2015, 2016
Levels - National Level
Metadata - Incomplete (Source)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
Palau Experimental Energy & Water Accounts Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > System of Environmental-Economic Accounting (SEEA) > Palau Experimental Energy & Water Accounts > TABLE A4 thru A6. ENERGY PHYSICAL SUPPLY AND USE TABLE, PALAU, FY2014-2016 (GJ) > Physical Supply Table, pp. 24-26
(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 - 2015
Levels - Admin 1, National Level
Metadata - Incomplete (Source)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 3.14a Occupied Housing Units by Source of Drinking Water and State of Residence: 2015 (no page numbers)
(22.2) Proportion of households with access to sanitation Data available
Built environment

Dataset Coverage Dataset Openness
Built environment Disaggregation - Sanitation Facility Type
Years - 2015
Levels - Admin 1, National Level
Metadata - Incomplete (Source)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 3.10a Occupied Housing Units by Plumbing Facilities and State of Residence: 2015 (no page numbers)
(22.3) Number of rooms or bedrooms Data available
Built environment

Dataset Coverage Dataset Openness
Built environment Disaggregation - None
Years - 2015
Levels - Admin 1, National Level
Metadata - Incomplete (Source)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Table 3.9a Occupied Housing Units by Number of Rooms and State of Residence: 2015 (no page numbers)
(22.4) Access to electricity Data Not Available
Built environment
(22.5) Data on housing construction materials Data available
Built environment

Dataset Coverage Dataset Openness
Built environment Disaggregation - Material Type
Years - 2012, 2015, 2019
Levels - Admin 1, National Level
Metadata - Incomplete (Source)
Format - PDF (np)
Download Options - Bulk Download
Terms of Use - Not Available
Terms of Use URL - 
Source Navigation
2019 Statistical Yearbook Home https://www.palaugov.pw/ > Executive Branch > Ministries > Ministry of Finance > Bureau of Budget & Planning > ROP Statistical Yearbooks > 2019 Statistical Yearbook > Tables 3.6, 3.7, and 3.8, plus the a/b version of each (no page numbers)

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.

35 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
(2.3) Education expenditures School Stage, Expenditure Categories
(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
(4.3) 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
(6.5) Contraceptive prevalence 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
(8.2) Proportion of women in government, management or senior positions None
(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
(10.1) Poverty rate None
(11.2) Gross domestic product (expenditure approach) Expenditure Categories
(11.3) Gross domestic product (income approach) Income Components
(13.2) Producers price index None
(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
(22.4) Access to electricity Access 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
(9.2) Crime rate
(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
Office of Planning & Statistics

36 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
(1.1) Population data 2015 Census of Population, Housing and Agriculture for the Republic of Palau PDF (np)
(1.1) Population data 2019 Statistical Yearbook PDF (np)
(1.2) Birth rate 2019 Statistical Yearbook, 2012 Statistical Yearbook PDF (np)
(1.3) Death rate 2019 Statistical Yearbook, 2012 Statistical Yearbook PDF (np)
(2.2) Number of teaching staff 2019 Statistical Yearbook, 2012 Statistical Yearbook PDF (np)
(3.1) Enrollment rate 2015 Census of Population, Housing and Agriculture Tables PDF (np)
(3.1) Enrollment rate 2019 Statistical Yearbook, 2012 Statistical Yearbook PDF (np)
(4.2) Number of beds or data on health care staff 2019 Statistical Yearbook PDF (np)
(6.4) Fertility rate 2019 Statistical Yearbook PDF (np)
(6.6) Adolescent birth rate 2019 Statistical Yearbook PDF (np)
(9.2) Crime rate 2019 Statistical Yearbook, 2016 Statistical Yearbook, 2012 Statistical Yearbook PDF (np)
(9.3) Data on prison population 2019 Statistical Yearbook, 2016 Statistical Yearbook, 2012 Statistical Yearbook PDF (np)
(10.2) Distribution of income by deciles or Gini coefficient 2014 Household Income & Expenditure Survey Report PDF (np)
(11.1) Gross domestic product (production approach) National Accounts - FY2017 PDF (np)
(12.1) Employment rate 2019 Statistical Yearbook PDF (np)
(12.2) Employment distribution 2019 Statistical Yearbook PDF (np)
(12.2) Employment distribution 2019 Statistical Yearbook, 2012 Statistical Yearbook PDF (np)
(12.3) Unemployment rate 2019 Statistical Yearbook PDF (np)
(13.1) Consumer price index Palau CPI Publication Q1 2020 PDF (np)
(13.1) Consumer price index Palau CPI Publication Q4 2016 PDF (np)
(13.1) Consumer price index Palau CPI Publication Q1 2014 PDF (np)
(14.1) Actual revenues 2019 Statistical Yearbook, 2016 Statistical Yearbook, 2011 Statistical Yearbook PDF (np)
(14.2) Actual expenditures 2019 Statistical Yearbook, 2016 Statistical Yearbook, 2011 Statistical Yearbook PDF (np)
(15.1) Money supply 2019 Statistical Yearbook, 2015 Statistical Yearbook, 2012 Statistical Yearbook PDF (np)
(15.2) Interest rates 2019 Statistical Yearbook, 2015 Statistical Yearbook, 2012 Statistical Yearbook PDF (np)
(16.1) Merchandise exports International Merchandise Trade Statistics PDF (np)
(16.2) Merchandise imports 2019 Statistical Yearbook, 2015 Statistical Yearbook PDF (np)
(17.1) Current account 2019 Statistical Yearbook, 2015 Statistical Yearbook PDF (np)
(17.2) Capital and financial account 2019 Statistical Yearbook, 2015 Statistical Yearbook PDF (np)
(20.1) Energy consumption Consumption of Electricity by Type of Customers, (KwH ‘000), 2012-2016 HTML (np)
(20.1) Energy consumption Palau Experimental Energy & Water Accounts PDF (np)
(20.2) Energy supply Palau Experimental Energy & Water Accounts PDF (np)
(22.1) Proportion of households with access to water 2019 Statistical Yearbook PDF (np)
(22.2) Proportion of households with access to sanitation 2019 Statistical Yearbook PDF (np)
(22.3) Number of rooms or bedrooms 2019 Statistical Yearbook PDF (np)
(22.5) Data on housing construction materials 2019 Statistical Yearbook PDF (np)

39 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
(1.1) Population data 2015 Census of Population, Housing and Agriculture for the Republic of Palau Date
(1.1) Population data 2019 Statistical Yearbook Date, Definition
(1.2) Birth rate 2019 Statistical Yearbook, 2012 Statistical Yearbook Date, Definition
(1.3) Death rate 2019 Statistical Yearbook, 2012 Statistical Yearbook Date, Definition
(2.2) Number of teaching staff 2019 Statistical Yearbook, 2012 Statistical Yearbook Date, Definition
(3.1) Enrollment rate 2015 Census of Population, Housing and Agriculture Tables Date
(3.1) Enrollment rate 2019 Statistical Yearbook, 2012 Statistical Yearbook Date, Definition
(3.1) Enrollment rate Public and Private Elementary and Secondary School Enrollment by School Year Date, Definition
(4.2) Number of beds or data on health care staff 2019 Statistical Yearbook Date, Definition
(6.4) Fertility rate 2019 Statistical Yearbook Date
(6.6) Adolescent birth rate 2019 Statistical Yearbook Date
(9.2) Crime rate 2019 Statistical Yearbook, 2016 Statistical Yearbook, 2012 Statistical Yearbook Date, Definition
(9.2) Crime rate Crime Statistics by Category: 2012 to 2018 Date, Definition
(9.3) Data on prison population 2019 Statistical Yearbook, 2016 Statistical Yearbook, 2012 Statistical Yearbook Date, Definition
(10.2) Distribution of income by deciles or Gini coefficient 2014 Household Income & Expenditure Survey Report Date, Definition
(11.1) Gross domestic product (production approach) National Accounts - FY2018 Date, Definition
(11.1) Gross domestic product (production approach) National Accounts - FY2017 Date, Definition
(12.1) Employment rate 2019 Statistical Yearbook Date, Definition
(12.2) Employment distribution 2019 Statistical Yearbook Date, Definition
(12.2) Employment distribution 2019 Statistical Yearbook, 2012 Statistical Yearbook Date, Definition
(12.3) Unemployment rate 2019 Statistical Yearbook Date, Definition
(13.1) Consumer price index Palau CPI Publication Q1 2020 Date
(13.1) Consumer price index Palau CPI Publication Q4 2016 Date
(13.1) Consumer price index Palau CPI Publication Q1 2014 Date
(14.1) Actual revenues 2019 Statistical Yearbook, 2016 Statistical Yearbook, 2011 Statistical Yearbook Date, Definition
(14.2) Actual expenditures 2019 Statistical Yearbook, 2016 Statistical Yearbook, 2011 Statistical Yearbook Date, Definition
(15.1) Money supply 2019 Statistical Yearbook, 2015 Statistical Yearbook, 2012 Statistical Yearbook Date, Definition
(15.2) Interest rates 2019 Statistical Yearbook, 2015 Statistical Yearbook, 2012 Statistical Yearbook Date, Definition
(16.1) Merchandise exports International Merchandise Trade Statistics Date, Definition
(16.2) Merchandise imports 2019 Statistical Yearbook, 2015 Statistical Yearbook Date, Definition
(17.1) Current account 2019 Statistical Yearbook, 2015 Statistical Yearbook Date, Definition
(17.2) Capital and financial account 2019 Statistical Yearbook, 2015 Statistical Yearbook Date, Definition
(20.1) Energy consumption Consumption of Electricity by Type of Customers, (KwH ‘000), 2012-2016 Date, Definition
(20.1) Energy consumption Palau Experimental Energy & Water Accounts Date, Definition
(20.2) Energy supply Palau Experimental Energy & Water Accounts Date, Definition
(22.1) Proportion of households with access to water 2019 Statistical Yearbook Date, Definition
(22.2) Proportion of households with access to sanitation 2019 Statistical Yearbook Date, Definition
(22.3) Number of rooms or bedrooms 2019 Statistical Yearbook Date, Definition
(22.5) Data on housing construction materials 2019 Statistical Yearbook Date, Definition

13 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 2015 Census of Population, Housing and Agriculture for the Republic of Palau 2015, 2012
(6.4) Fertility rate None 2019 Statistical Yearbook 2012, 2015
(6.6) Adolescent birth rate None 2019 Statistical Yearbook 2012, 2015
(10.2) Distribution of income by deciles or Gini coefficient None 2014 Household Income & Expenditure Survey Report 2014
(12.1) Employment rate Sex, Age 2019 Statistical Yearbook 2015
(12.3) Unemployment rate Sex, Age 2019 Statistical Yearbook 2015
(16.1) Merchandise exports Product Categories International Merchandise Trade Statistics 2017, 2018, 2019
(20.1) Energy consumption Energy Commodity, Sector Consumption of Electricity by Type of Customers, (KwH ‘000), 2012-2016 2012, 2013, 2014, 2015, 2016
(20.2) Energy supply Energy Commodity Palau Experimental Energy & Water Accounts 2014, 2015, 2016
(22.1) Proportion of households with access to water Water Supply Type 2019 Statistical Yearbook 2015
(22.2) Proportion of households with access to sanitation Sanitation Facility Type 2019 Statistical Yearbook 2015
(22.3) Number of rooms or bedrooms None 2019 Statistical Yearbook 2015
(22.5) Data on housing construction materials Material Type 2019 Statistical Yearbook 2012, 2015, 2019

12 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 Added a dataset for this indicator Bulk download is not an option because an additional dataset is needed to maximize coverage -Updated Navigation, CK, Added a dataset for this indicator Bulk download is not an option because an additional dataset is needed to maximize coverage -Updated Navigation, CK 2015, 2012
(6.4) Fertility rate None Added a dataset for this indicator -Updated Navigation, CK 2012, 2015
(6.6) Adolescent birth rate None Added a dataset for this indicator -Updated Navigation, CK 2012, 2015
(10.2) Distribution of income by deciles or Gini coefficient None Added a dataset for this indicator This survey was conducted in 2006 and 2014, but not since -Updated Navigation, CK 2014
(12.1) Employment rate Sex, Age Added a dataset for this indicator -Updated Navigation, CK 2015
(12.3) Unemployment rate Sex, Age Added a dataset for this indicator -Updated Navigation, CK 2015
(20.1) Energy consumption Energy Commodity, Sector Consumption of Electricity by Type of Customers, (KwH ‘000), 2012-2016 2012, 2013, 2014, 2015, 2016
(20.2) Energy supply Energy Commodity Palau Experimental Energy & Water Accounts 2014, 2015, 2016
(22.1) Proportion of households with access to water Water Supply Type Added a dataset for this indicator -Replaced source Table" (from "Table 3.12b Occupied Housing Units by Source of Water and State of Residence: 2015" to "Table 3.14a Occupied Housing Units by Source of Drinking Water and State of Residence: 2015" as this table is closer/better dataset; changed Indicator name, CK -Updated Navigation, CK 2015
(22.2) Proportion of households with access to sanitation Sanitation Facility Type Added a dataset for this indicator -Updated Navigation, CK -Checked with Jamison on Teams about Plumbing data to be used; yes it can. "Technically, plumbing included sanitation. The table has those with complete plumbing, those with complete plumbing and hot and cold water, complete plumbing with cold water only, and those without complete plumbing. So yes, we would accept unless we had metadata that defined plumbing as not sanitation related." CK 7/27/2020 2015
(22.3) Number of rooms or bedrooms None Added a dataset for this indicator -Updated Navigation, CK 2015
(22.5) Data on housing construction materials Material Type 2019 Statistical Yearbook 2012, 2015, 2019

14 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
(1.2) Birth rate Sex, Marital Status 2019 Statistical Yearbook, 2012 Statistical Yearbook
(1.3) Death rate Sex 2019 Statistical Yearbook, 2012 Statistical Yearbook
(2.2) Number of teaching staff School Stage, School Type 2019 Statistical Yearbook, 2012 Statistical Yearbook
(3.1) Enrollment rate Sex, Age, School Stage, School Type 2015 Census of Population, Housing and Agriculture Tables, 2019 Statistical Yearbook, 2012 Statistical Yearbook, Public and Private Elementary and Secondary School Enrollment by School Year
(4.2) Number of beds or data on health care staff Facility Type, Department Type, Staff Type 2019 Statistical Yearbook
(6.4) Fertility rate None 2019 Statistical Yearbook
(6.6) Adolescent birth rate None 2019 Statistical Yearbook
(9.2) Crime rate Crime Type, Sex Of Perpetrator 2019 Statistical Yearbook, 2016 Statistical Yearbook, 2012 Statistical Yearbook, Crime Statistics by Category: 2012 to 2018
(11.1) Gross domestic product (production approach) Industry National Accounts - FY2018, National Accounts - FY2017
(12.1) Employment rate Sex, Age 2019 Statistical Yearbook
(12.3) Unemployment rate Sex, Age 2019 Statistical Yearbook
(13.1) Consumer price index None Palau CPI Publication Q1 2020, Palau CPI Publication Q4 2016, Palau CPI Publication Q1 2014
(14.1) Actual revenues Revenue Source 2019 Statistical Yearbook, 2016 Statistical Yearbook, 2011 Statistical Yearbook
(14.2) Actual expenditures Administrative Classification, Economic Classification, Functional Classification 2019 Statistical Yearbook, 2016 Statistical Yearbook, 2011 Statistical Yearbook

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
49%
Methodology Subscore
30%
Source Data Subscore
60%
Periodicity Subscore
57%

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.

Palau 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.

Palau is a 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.

Palau 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.

Palau 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.