Pacific Nutrient DataBase 2020
Pacific Region, 2020
Statistics for Development Division
Created on
October 25, 2021
Last modified
October 25, 2021
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Identification
Survey ID Number
SPC-REG_2020_PNDB_v01_EN_M_v01_A_OCS
Title
Pacific Nutrient DataBase 2020
Country
| Name | Country code |
|---|---|
| Pacific Region | SPC-REG |
Study type
Income/Expenditure/Household Survey [hh/ies]
Series Information
This is the first Pacific Nutrient DataBase developed in the Region.
Abstract
Household Income and Expenditure Surveys (HIES) are implemented to rebase consumer price indices and estimates of household contribution to national gross domestic product. More recently, HIES data have been used in poverty analyses and to conduct nutrition and food security oriented analyses.
The more recent applications of HIES data – poverty, nutrition and food security – require the use of edible-portion conversion factors to convert the reported acquisition of wholefoods into edible portions so estimates can be made of what people apparently ingest. These data then require the use of food composition tables (FCTs) to convert the edible portion into caloric and nutrient consumption values, so total energy and nutrient consumption can be estimated.
HIES data in the Pacific region are coded using the United Nations Statistics Division’s Classification of Individual Consumption According to Purpose (COICOP); however, there is no regionally standardised linkage between COICOP and the Pacific Islands Food Composition Tables Second Edition (PIFCT). Furthermore, the PIFCTs do not have edible-portion conversion factors and are insufficient to cover the full list of foods reported in the HIES.
To address this, the Pacific Nutrient Database (PNDB) was developed to provide the Pacific region with a standard set of conversion factors and food composition data that are mapped to COICOP (1999). To add more value to the database, each food item is also mapped to COICOP 2018, classified into FAO Commodity Groups and food groups to compute Household Dietary Diversity Scores (HDDS). The PNDB includes 26 components plus edible and inedible portions for a total of 822 foods.
The more recent applications of HIES data – poverty, nutrition and food security – require the use of edible-portion conversion factors to convert the reported acquisition of wholefoods into edible portions so estimates can be made of what people apparently ingest. These data then require the use of food composition tables (FCTs) to convert the edible portion into caloric and nutrient consumption values, so total energy and nutrient consumption can be estimated.
HIES data in the Pacific region are coded using the United Nations Statistics Division’s Classification of Individual Consumption According to Purpose (COICOP); however, there is no regionally standardised linkage between COICOP and the Pacific Islands Food Composition Tables Second Edition (PIFCT). Furthermore, the PIFCTs do not have edible-portion conversion factors and are insufficient to cover the full list of foods reported in the HIES.
To address this, the Pacific Nutrient Database (PNDB) was developed to provide the Pacific region with a standard set of conversion factors and food composition data that are mapped to COICOP (1999). To add more value to the database, each food item is also mapped to COICOP 2018, classified into FAO Commodity Groups and food groups to compute Household Dietary Diversity Scores (HDDS). The PNDB includes 26 components plus edible and inedible portions for a total of 822 foods.
Kind of Data
Aggregate data [agg]
Unit of Analysis
Commodities
Scope
Notes
-COICOP commodity: other names, type of data, source of data, edible portion, nutrient.
Keywords
| Keyword |
|---|
| COICOP |
| FAO |
| Food |
| Nutrient |
| Calory |
Coverage
Geographic Coverage
Pacific Region.
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Statistics for Development Division | Pacific Community (SPC) |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Food and Agriculture Organization | United Nations | Co-producer of the PNDB |
| University of Wollongong | Australian Government | Co-producer of the PNDB |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Australian Centre for International Agricultural Research | Australian Government | Funding |
Data Collection
Dates of Data Collection
| Start |
|---|
| 2020-01-01 |
Data Collection Mode
Other [oth]
Data Collection Notes
All commodities present in the Pacific Nutrient DataBase (PNDB) are originating from Household Income and Expenditure Surveys (HIES) from the Pacific Region.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| National Statistics Office | NSO | Government |
Questionnaires
Questionnaires
Questionnaires used were those from Household Income and Expenditure Surveys (HIES) in the Pacific Region.
Data Processing
Data Editing
Data editing was done using the software Excel.
Data Appraisal
Data Appraisal
The dataset was constructed in Excel and is a compilation of data from various food composition tables.
Access policy
Access authority
| Name | Affiliation | URL |
|---|---|---|
| Statistics for Development Division | Pacific Community (SPC) | https://sdd.spc.int/ |
Contacts
| Name | Affiliation | URL |
|---|---|---|
| Statistics for Development Division | Pacific Community (SPC) | https://sdd.spc.int/ |
Confidentiality
See https://microdata.pacificdata.org/index.php/terms-of-use
Access conditions
Public-use file, accessible to all.
Citation requirements
"Statistics for Development Division, Pacific Nutrient DataBase 2020 (PNDB 2020), Version 01 of the public-use dataset (July 2020), provided by the Pacific Data Hub - Microdata Library. https://microdata.pacificdata.org/index.php/home"
Metadata production
DDI Document ID
DDI_SPC-REG_2020_PNDB_v01_EN_M_v01_A_OCS_FAO
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Office of Chief Statistician | OCS | Food and Agriculture Organization | Metadata adapted for FAM |
| Statistics for Development Division | SDD | Pacific Community (SPC) | Documentation of the study |
DDI Document version
SPC-REG_2020_PNDB_v01_EN_M_v01_A_OCS_v01