Namibia Population and Housing Census 2011
Namibia, 2011
Namibia Statistics Agency
Identification
Title
Namibia Population and Housing Census 2011
Countries
| Name | Abbreviation |
|---|---|
| Namibia | NAM |
idno
NAM_NSA_PHC_2011_V01_PUMS
Study notes
The 2011 Population and Housing Census is the third national Census to be conducted in Namibia after independence. The first was conducted 1991 followed by the 2001 Census. Namibia is therefore one of the countries in sub-Saharan Africa that has participated in the 2010 Round of Censuses and followed the international best practice of conducting decennial Censuses, each of which attempts to count and enumerate every person and household in a country every ten years. Surveys, by contrast, collect data from samples of people and/or households.
Censuses provide reliable and critical data on the socio-economic and demographic status of any country. In Namibia, Census data has provided crucial information for development planning and programme implementation. Specifically, the information has assisted in setting benchmarks, formulating policy and the evaluation and monitoring of national development programmes including NDP4, Vision 2030 and several sector programmes. The information has also been used to update the national sampling frame which is used to select samples for household-based surveys, including labour force surveys, demographic and health surveys, household income and expenditure surveys. In addition, Census information will be used to guide the demarcation of Namibia's administrative boundaries where necessary.
At the international level, Census information has been used extensively in monitoring progress towards Namibia's achievement of international targets, particularly the Millennium Development Goals (MDGs).
The latest and most comprehensive Census was conducted in August 2011. Preparations for the Census started in the 2007/2008 financial year under the auspices of the then Central Bureau of Statistics (CBS) which was later transformed into the Namibia Statistics Agency (NSA). The NSA was established under the Statistics Act No. 9 of 2011, with the legal mandate and authority to conduct population Censuses every 10 years. The Census was implemented in three broad phases; pre-enumeration, enumeration and post enumeration.
During the first pre-enumeration phase, activities accomplished including the preparation of a project document, establishing Census management and technical committees, and establishing the Census cartography unit which demarcated the Enumeration Areas (EAs). Other activities included the development of Census instruments and tools, such as the questionnaires, manuals and field control forms.
Field staff were recruited, trained and deployed during the initial stages of the enumeration phase. The actual enumeration exercise was undertaken over a period of about three weeks from 28 August to 15 September 2011, while 28 August 2011 was marked as the reference period or 'Census Day'.
Great efforts were made to check and ensure that the Census data was of high quality to enhance its credibility and increase its usage. Various quality controls were implemented to ensure relevance, timeliness, accuracy, coherence and proper data interpretation. Other activities undertaken to enhance quality included the demarcation of the country into small enumeration areas to ensure comprehensive coverage; the development of structured Census questionnaires after consultat.The post-enumeration phase started with the sending of completed questionnaires to Head Office and the preparation of summaries for the preliminary report, which was published in April 2012. Processing of the Census data began with manual editing and coding, which focused on the household identification section and un-coded parts of the questionnaire. This was followed by the capturing of data through scanning. Finally, the data were verified and errors corrected where necessary. This took longer than planned due to inadequate technical skills.
Censuses provide reliable and critical data on the socio-economic and demographic status of any country. In Namibia, Census data has provided crucial information for development planning and programme implementation. Specifically, the information has assisted in setting benchmarks, formulating policy and the evaluation and monitoring of national development programmes including NDP4, Vision 2030 and several sector programmes. The information has also been used to update the national sampling frame which is used to select samples for household-based surveys, including labour force surveys, demographic and health surveys, household income and expenditure surveys. In addition, Census information will be used to guide the demarcation of Namibia's administrative boundaries where necessary.
At the international level, Census information has been used extensively in monitoring progress towards Namibia's achievement of international targets, particularly the Millennium Development Goals (MDGs).
The latest and most comprehensive Census was conducted in August 2011. Preparations for the Census started in the 2007/2008 financial year under the auspices of the then Central Bureau of Statistics (CBS) which was later transformed into the Namibia Statistics Agency (NSA). The NSA was established under the Statistics Act No. 9 of 2011, with the legal mandate and authority to conduct population Censuses every 10 years. The Census was implemented in three broad phases; pre-enumeration, enumeration and post enumeration.
During the first pre-enumeration phase, activities accomplished including the preparation of a project document, establishing Census management and technical committees, and establishing the Census cartography unit which demarcated the Enumeration Areas (EAs). Other activities included the development of Census instruments and tools, such as the questionnaires, manuals and field control forms.
Field staff were recruited, trained and deployed during the initial stages of the enumeration phase. The actual enumeration exercise was undertaken over a period of about three weeks from 28 August to 15 September 2011, while 28 August 2011 was marked as the reference period or 'Census Day'.
Great efforts were made to check and ensure that the Census data was of high quality to enhance its credibility and increase its usage. Various quality controls were implemented to ensure relevance, timeliness, accuracy, coherence and proper data interpretation. Other activities undertaken to enhance quality included the demarcation of the country into small enumeration areas to ensure comprehensive coverage; the development of structured Census questionnaires after consultat.The post-enumeration phase started with the sending of completed questionnaires to Head Office and the preparation of summaries for the preliminary report, which was published in April 2012. Processing of the Census data began with manual editing and coding, which focused on the household identification section and un-coded parts of the questionnaire. This was followed by the capturing of data through scanning. Finally, the data were verified and errors corrected where necessary. This took longer than planned due to inadequate technical skills.
Kind of data
Census/enumeration data [cen]
Unit of analysis
Households and persons
Version
Version
Version 1.0: Edited, anonymous dataset for public distribution (PUMS, 20% sample)
Version date
2013-06-19
Scope
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| Education | ||
| Agriculture & Rural Development | ||
| Energy & Mining | ||
| Financial Sector | ||
| Health | ||
| Infrastructure | ||
| Labor & Social Protection | ||
| Social Development |
Keywords
| keyword | URI |
|---|---|
| Household | |
| Mortality | |
| Fertility | |
| Education | |
| Labour force | |
| Disability |
Coverage
Geographic coverage
National coverage
Unit of analysis
Households and persons
Universe
The sampling universe is defined as all households (private and institutions) from 2011 Census dataset.
Producers and sponsors
Funding agencies
| Name | Abbreviation | Role |
|---|---|---|
| Government of the Republic of Namibia | GRN | Provided Funds |
| United Nations Population Fund | UNFPA | Provided technical assistance |
| Government of Luxemburg | LUX | Provided Funds |
| United States of America International Development | USAID-NAMIBIA | Provided technical assistance |
Other acknowledgement(s)
| Name | Affiliation | Role | |
|---|---|---|---|
| Statistics South Africa | Provided technical support | ||
| Census inter-agency technical committee | Provided technical support | ||
| Line Ministries and Private Institutions | Provided Assistance | ||
| The regions, field staff and the general public | Provided Assistance |
Sampling
Sampling procedure
Sample Design
The stratified random sample was applied on the constituency and urban/rural variables of households list from Namibia 2011 Population and Housing Census for the Public Use Microdata Sample (PUMS) file. The sampling universe is defined as all households (private and institutions) from 2011 Census dataset. Since urban and rural are very important factor in the Namibia situation, it was then decided to take the stratum at the constituency and urban/rural levels. Some constituencies have very lower households in the urban or rural, the office therefore decided for a threshold (low boundary) for sampling within stratum. Based on data analysis, the threshold for stratum of PUMS file is 250 households. Thus, constituency and urban/rural areas with less than 250 households in total were included in the PUMS file. Otherwise, a simple random sampling (SRS) at a 20% sample rate was applied for each stratum. The sampled households include 93,674 housing units and 418,362 people.
Sample Selection
The PUMS sample is selected from households. The PUMS sample of persons in households is selected by keeping all persons in PUMS households. Sample selection process is performed using Census and Survey Processing System (CSPro).
The sample selection program first identifies the 7 census strata with less than 250 households and the households (private and institutions) with more than 50 people. The households in these areas and with this large size are all included in the sample. For the other households, the program randomly generates a number n from 0 to 4. Out of every 5 households, the program selects the nth household to export to the PUMS data file, creating a 20 percent sample of households. Private households and institutions are equally sampled in the PUMS data file.
Note: The 7 census strata with less than 250 households are: Arandis Constituency Rural, Rehoboth East Urban Constituency Rural, Walvis Bay Rural Constituency Rural, Mpungu Constituency Urban, Etayi Constituency Urban, Kalahari Constituency Urban, and Ondobe Constituency Urban.
The stratified random sample was applied on the constituency and urban/rural variables of households list from Namibia 2011 Population and Housing Census for the Public Use Microdata Sample (PUMS) file. The sampling universe is defined as all households (private and institutions) from 2011 Census dataset. Since urban and rural are very important factor in the Namibia situation, it was then decided to take the stratum at the constituency and urban/rural levels. Some constituencies have very lower households in the urban or rural, the office therefore decided for a threshold (low boundary) for sampling within stratum. Based on data analysis, the threshold for stratum of PUMS file is 250 households. Thus, constituency and urban/rural areas with less than 250 households in total were included in the PUMS file. Otherwise, a simple random sampling (SRS) at a 20% sample rate was applied for each stratum. The sampled households include 93,674 housing units and 418,362 people.
Sample Selection
The PUMS sample is selected from households. The PUMS sample of persons in households is selected by keeping all persons in PUMS households. Sample selection process is performed using Census and Survey Processing System (CSPro).
The sample selection program first identifies the 7 census strata with less than 250 households and the households (private and institutions) with more than 50 people. The households in these areas and with this large size are all included in the sample. For the other households, the program randomly generates a number n from 0 to 4. Out of every 5 households, the program selects the nth household to export to the PUMS data file, creating a 20 percent sample of households. Private households and institutions are equally sampled in the PUMS data file.
Note: The 7 census strata with less than 250 households are: Arandis Constituency Rural, Rehoboth East Urban Constituency Rural, Walvis Bay Rural Constituency Rural, Mpungu Constituency Urban, Etayi Constituency Urban, Kalahari Constituency Urban, and Ondobe Constituency Urban.
Weighting
The weight
The 20% sampled households have a weight of 5 for each record type, and the large households with 50 or more people and the households in areas with less than 250 households all have a weight of 1.
The 20% sampled households have a weight of 5 for each record type, and the large households with 50 or more people and the households in areas with less than 250 households all have a weight of 1.
Data Collection
Dates of collection
| Start | End | Cycle |
|---|---|---|
| 2011-08-28 | 2011-09-15 |
Mode of data collection
Face-to-face [f2f]
Data collection supervision
Regional supervisors: Overseening the 2011 census operations at regional level
Constituency supervisors: Overseening the 2011 census operations at constituency level
Team supervisors: Overseening the 2011 census operations at Enumeration Areas and supervised three to four enumerators.
Quality assurance mechanisms
Comprehensive quality assurance guidelines were developed and shared with all field personnel. Four layers of fi eld supervision, plus a monitoring team, were put in place to ensure adequate facilitation, real-time response to emerging issues, and feedback to Census Office during data collection (see under deployment above). Additionally, several control forms and reporting schedules were used during enumeration to facilitate monitoring activities. Field monitoring teams oversaw logistical and administrative aspects of enumeration in each region, as well as performed spot checks to assess whether enumeration activities were proceeding appropriately.
Constituency supervisors: Overseening the 2011 census operations at constituency level
Team supervisors: Overseening the 2011 census operations at Enumeration Areas and supervised three to four enumerators.
Quality assurance mechanisms
Comprehensive quality assurance guidelines were developed and shared with all field personnel. Four layers of fi eld supervision, plus a monitoring team, were put in place to ensure adequate facilitation, real-time response to emerging issues, and feedback to Census Office during data collection (see under deployment above). Additionally, several control forms and reporting schedules were used during enumeration to facilitate monitoring activities. Field monitoring teams oversaw logistical and administrative aspects of enumeration in each region, as well as performed spot checks to assess whether enumeration activities were proceeding appropriately.
Questionnaires
The following questionnaire instruments were used for the Namibia 2011 Population and and Housing Census:
Form A (Long Form): For conventional households and residential institutions
Form B1 (Short Form): For special population groups such as persons in transit (travellers), police cells, homeless and off-shore populations
Form B2 (Short Form): For hotels/guesthouses
Form B3 (Short Form): For foreign missions/diplomatic corps
Form A (Long Form): For conventional households and residential institutions
Form B1 (Short Form): For special population groups such as persons in transit (travellers), police cells, homeless and off-shore populations
Form B2 (Short Form): For hotels/guesthouses
Form B3 (Short Form): For foreign missions/diplomatic corps
Data collector(s)
| Name | Abbreviation | Affiliation |
|---|---|---|
| Namibia Statistics Agency | NSA |
Data Processing
Data editing
Data editing took place at a number of stages throughout the processing, including:
a) During data collection in the field
b) Manual editing and coding in the office
c) During data entry (Primary validation/editing)
Structure checking and completeness using Structured Query Language (SQL) program
d) Secondary editing:
i. Imputations of variables
ii. Structural checking in Census and Survey Processing System (CSPro) program
a) During data collection in the field
b) Manual editing and coding in the office
c) During data entry (Primary validation/editing)
Structure checking and completeness using Structured Query Language (SQL) program
d) Secondary editing:
i. Imputations of variables
ii. Structural checking in Census and Survey Processing System (CSPro) program
Data Appraisal
Other forms of data appraisal
Data quality
Great efforts were made to check and ensure that the Census data was of high quality to enhance its credibility and increase its usage. Various quality controls were implemented to ensure relevance, timeliness, accuracy, coherence and proper data interpretation. Other activities undertaken to enhance quality included the demarcation of the country
into small enumeration areas to ensure comprehensive coverage; the development of structured Census questionnaires after consultation with government ministries, university expertise and international partners; the preparation of detailed supervisors' and enumerators' instruction manuals to guide field staff during enumeration; the undertaking of comprehensive publicity and advocacy programmes to ensure full Government support and cooperation from the general public; the testing of questionnaires and other procedures; the provision of adequate training and undertaking of intensive supervision using four supervisory layers; the editing of questionnaires at field level; establishing proper mechanisms which ensured that all completed questionnaires were properly accounted for; ensuring intensive verification, validating all information and error corrections; and developing capacity in data processing with support from the international community.
Great efforts were made to check and ensure that the Census data was of high quality to enhance its credibility and increase its usage. Various quality controls were implemented to ensure relevance, timeliness, accuracy, coherence and proper data interpretation. Other activities undertaken to enhance quality included the demarcation of the country
into small enumeration areas to ensure comprehensive coverage; the development of structured Census questionnaires after consultation with government ministries, university expertise and international partners; the preparation of detailed supervisors' and enumerators' instruction manuals to guide field staff during enumeration; the undertaking of comprehensive publicity and advocacy programmes to ensure full Government support and cooperation from the general public; the testing of questionnaires and other procedures; the provision of adequate training and undertaking of intensive supervision using four supervisory layers; the editing of questionnaires at field level; establishing proper mechanisms which ensured that all completed questionnaires were properly accounted for; ensuring intensive verification, validating all information and error corrections; and developing capacity in data processing with support from the international community.
Data access
Access authorities
| Name | Affiliation | URI | |
|---|---|---|---|
| Namibia Statistics Agency | Government of the Republic of Namibia | info@nsa.org.na | https://www.nsa.org.na |
Access conditions
Public use files, accessible to all
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 Namibia Statistics Agency.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and 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 Namibia Statistics Agency.
4. No attempt will be made to produce links among datasets provided by the Namibia Statistics Agency, or among data from the Namibia Statistics Agency 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 Namibia Statistics Agency will cite the source of data in accordance with the Citation Requirement provided with each dataset.
6. An electronic copy of all reports and publications based on the requested data will be sent to the Namibia Statistics Agency.
The original collector of the data, the Namibia Statistics Agency, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
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 Namibia Statistics Agency.
2. The data will be used for statistical and scientific research purposes only. They will be used solely for reporting of aggregated information, and 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 Namibia Statistics Agency.
4. No attempt will be made to produce links among datasets provided by the Namibia Statistics Agency, or among data from the Namibia Statistics Agency 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 Namibia Statistics Agency will cite the source of data in accordance with the Citation Requirement provided with each dataset.
6. An electronic copy of all reports and publications based on the requested data will be sent to the Namibia Statistics Agency.
The original collector of the data, the Namibia Statistics Agency, and the relevant funding agencies bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Citation requirements
Namibia Statistics Agency. Namibia 2011 Population and Housing Census [PUMS dataset]. Version 1.0, Windhoek: Namibia Statistics Agency [producer and distributor], August 2013.
Disclaimer and copyrights
Disclaimer
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Copyrights
Copyright, NSA 2013
contacts
Contact(s)
| Name | Affiliation | URI | |
|---|---|---|---|
| Namibia Statistics Agency | Government of the Republic of Namibia | info@nsa.org.na | https://www.nsa.org.na |