Identification
IDNO
PLW_2005_PHC_v01_M
Title
Census of Population and Housing 2005
Country
| Name | Country code |
|---|---|
| Palau | PLW |
Abstract
The 2005 Census of Population and Housing was the third comprehensive data collection of population and housing characteristics taken by the Republic since Compact Implementation in October 1994. The 2005 Census of Palau had two volumes. This first volume contained the basic tables, which can be used instantly for planning and policy determination. A second volume, the Census monograph, contained analyses of trends and comparisons of the States.
Kind of Data
Census/enumeration data [cen]
Unit of Analysis
Individuals
Families
Households
General Population
Families
Households
General Population
Coverage
Geographic Coverage
National
Unit of Analysis
Individuals
Families
Households
General Population
Families
Households
General Population
Universe
The Census covered all the households and respective residents in the entire country.
Producers and sponsors
Authoring entity/Primary investigators
| Agency Name | Affiliation |
|---|---|
| Office of Planning and Statistics | Ministry of Finance |
Producers
| Name | Affiliation | Role |
|---|---|---|
| U.S. Department of Interior | US Government | Technical Assistance Grant |
| U.S. Bureau of Census | US Government | Technical Assistance in census entirety |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| Republic of Palau | ROP | Financing |
| United States of America | USA | Technical Expertise Financier |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Student Volunteers | Midszenty High School | Coding |
| Student Workers | Workforce Investment Act | Coding and Keying |
Sampling
Sampling Procedure
Not applicable to a full enumeration census.
For details please refer to the attached Basic Tables and Monograph.
For details please refer to the attached Basic Tables and Monograph.
Response Rate
In any large-scale statistical operation, such as the 2005 Census of the Republic of Palau, human- and machine-related errors do occur. These errors are commonly referred to as nonsampling errors. Such errors include not enumerating every household or every person in the population, not obtaining all required information form the respondents, obtaining incorrect or inconsistent information, and recording information incorrectly. In addition, errors can occur during the field review of the enumerators' work, during clerical handling of the census questionnaires, or during the electronic processing of the questionnaires.
To reduce various types of nonsampling errors, a number of techniques were implemented during the planning, data collection, and data processing activities. Quality assurance methods were used throughout the data collection and processing phases of the census to improve the quality of the data.
To reduce various types of nonsampling errors, a number of techniques were implemented during the planning, data collection, and data processing activities. Quality assurance methods were used throughout the data collection and processing phases of the census to improve the quality of the data.
Data Collection
Dates of Data Collection (YYYY/MM/DD)
| Start date | End date | Cycle |
|---|---|---|
| 2005-04-01 | 2005-05-15 | Enumeraton |
Mode of data collection
Face-to-face [f2f]
Data Collectors
| Name | Affiliation |
|---|---|
| Office of Planning and Statistics | Ministry of Finance |
Data Processing
Cleaning Operations
Full scale processing and editing activiities comprised eight separate sessions either with or separately but with remote guidance of the U.S. Census Bureau experts to finalize all datasets for publishing stage.
Data Appraisal
Data Appraisal
In any large-scale statistical operation, such as the 2005 Census of the Republic of Palau, human- and machine-related errors were anticipated. These errors are commonly referred to as nonsampling errors. Such errors include not enumerating every household or every person in the population, not obtaining all required information form the respondents, obtaining incorrect or inconsistent information, and recording information incorrectly. In addition, errors can occur during the field review of the enumerators' work, during clerical handling of the census questionnaires, or during the electronic processing of the questionnaires.
To reduce various types of nonsampling errors, a number of techniques were implemented during the planning, data collection, and data processing activities. Quality assurance methods were used throughout the data collection and processing phases of the census to improve the quality of the data.
To reduce various types of nonsampling errors, a number of techniques were implemented during the planning, data collection, and data processing activities. Quality assurance methods were used throughout the data collection and processing phases of the census to improve the quality of the data.
Data access
Contact
| Name | Affiliation | URI | |
|---|---|---|---|
| Director, Bureau of Budget and Planning | Ministry of Finance | ropbudget@palaugov.net | http://www.palaugov.net/stats |
| Statistics Coordinator | Office of Planning and Statistics | ops@palaugov.net | http://www.palaugov.net/stats |
Conditions
While the dataset has been anonymized and is available as a Public Use Dataset, it is accessible to all for statistical and research purposes only, under the following terms and conditions:
1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the Director of Budget and Planning, Ministry of Finance.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated informationand not for investigation of specific individuals or organizations.
3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the Director of the Bureau of Budget and Planning.
4. No attempt will be made to produce links among datasets provided by the Office of Planning and Statistics (OPS), or among data from the OPS and other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the Office of Planning and Statistics will cite the source of data in accordance with the generally accepted research and data reference standards.
6. An electronic copy of all reports and publications based on the requested data should be sent to the OPS or the Bureau of Budget and Planning at the following email addresses: ops@palaugov.net or ropbudget@palaugov.net.
The original collector of the data, the OPS, and the relevant funding and technical agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
1. The data and other materials will not be redistributed or sold to other individuals, institutions, or organizations without the written agreement of the Director of Budget and Planning, Ministry of Finance.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated informationand not for investigation of specific individuals or organizations.
3. No attempt will be made to re-identify respondents, and no use will be made of the identity of any person or establishment discovered inadvertently. Any such discovery would immediately be reported to the Director of the Bureau of Budget and Planning.
4. No attempt will be made to produce links among datasets provided by the Office of Planning and Statistics (OPS), or among data from the OPS and other datasets that could identify individuals or organizations.
5. Any books, articles, conference papers, theses, dissertations, reports, or other publications that employ data obtained from the Office of Planning and Statistics will cite the source of data in accordance with the generally accepted research and data reference standards.
6. An electronic copy of all reports and publications based on the requested data should be sent to the OPS or the Bureau of Budget and Planning at the following email addresses: ops@palaugov.net or ropbudget@palaugov.net.
The original collector of the data, the OPS, and the relevant funding and technical agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the Office of Planning and Statistics, Republic of Palau, original collector of the data, the authorized distributor of the data, and the relevant funding and technical agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Copyright
(c) 2005, Office of Planning and Statistics, MoF, Republic of Palau Government
Contacts
Contact
| Name | Affiliation | URI | |
|---|---|---|---|
| Statistics Coordinator | Office of Planning and Statistics | ops@palaugov.net | http://www.palaugov.net/stats |
Metadata production
Document ID
DDI_PLW_2005_PHC_v01_M
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Rhinehart Silas | RS | Office of Planning and Statistics | Census Documentation |
Date of Production
2012-07-16
Document version
Version 01 (September 2012) - Adapted version of the DDI "DDI-PLW-OPS-CPH-2005-v1.1." documented by Office of Planning and Statistics in July 2012