Abstract

The 2008 Sudan Population and Housing Census is the 5th Sudan Population and Housing Census conducted, and one of the most important censuses in the history of Sudan. It is based on the comprehensive peace agreement. It provides hope for Sudanese people to build a new Sudan, with a fair share in power, resources, services and development. To achieve these goals a population census with a high accuracy and a full coverage is a necessity.

Geographic coverage

National

Analysis unit

• Households;
• Individual.

Universe

The de facto method is applied for the enumeration of the population.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

As mentioned above the census data is to be collected in two forms. A short form to be used for 90% of EAs with a minimum number of questions ( 11 questions ) and to satisfy the basic population data needed for the election and other basic demographic needs. A long form to be administered in10% of the enumeration areas (EAS) and will provide all other standard social and economic information. The details of these questionnaires are following closely the UN principles and recommendations for censuses as decided by the TWG. That had put sometimes the TWG in conflicts with the governing councils and politicians at the national and regional levels. For e.g. the MOC had requested the deletion of the questions on ethnicity after its endorsement by the PCC in its second meeting. The PCC decided to raise it to the Presidency as the TWG had reconfirmed its technical importance. Based on the understanding that ethnicity and religion are causes of conflicts in Sudan, the Presidency decided to delete these questions. It was suggested as a compromise to use the question on previous residence to give information about Southern people living in the North. The South Sudan Population Census Council (SSPCC) requested an amplification of the question to reflect household origin from the nine 1956 Provinces (Northern, Khartoum, Central, Eastern, Kordofan, Darfur, Upper Nile, Bahr Elghazal and Equatoria) in stead of (north/south). But that was not accepted by many members of the PCC and some politicians in the north who believe that it is another way of bringing back the ethnicity question. The SSPCC then insisted on the re-inclusion of the ethnicity and religion questions. That led to a lot of delays in printing the questionnaires. In order to get out of this dilemma the TWG with support of UNFPA had decided to stick firmly to the UN standards. That is to stick to the previous residence question (origin) which is core one and to neglect the ethnicity question which is an optional one.

Cleaning operations

For census data entry the Technical Working Group (TWG) decided with endorsement of the PCC that the data entry was to be decentralized. Nine centers were suggested. These are the capitals of old British provinces. The TWG also decided that the short and long forms to be scanned using optical mark recognition (OMR) technology. That decision was based on the field visits to some African countries which used the same technology in their censuses. For quality assurance a high level team from both CBS and SSCCSE were sent to DRS Company in UK to ensure that the forms were correctly printed in both Arabic and English so as to avoid occurrence of any errors or faults during enumeration and the scanning process. It was decided that the census data was to be processed, the results produced and the tabulation prepared centrally. The national and regional tabulation to be analyzed and published using different data dissemination methods such as:-printed reports, electronic media (websites, Emails), data archiving, seminars and workshops. The use of internet as another tool for data dissemination was also suggested.

This dataset shows the population census of the Kingdom of Cambodia in 2008, which shows the total population, total male population, total female population, total number of households, density etc. in the Kingdom of Cambodia.

This dataset contains a selection of six socioeconomic indicators of public health significance and a “hardship index,” by Chicago community area, for the years 2008 – 2012. The indicators are the percent of occupied housing units with more than one person per room (i.e., crowded housing); the percent of households living below the federal poverty level; the percent of persons in the labor force over the age of 16 years that are unemployed; the percent of persons over the age of 25 years without a high school diploma; the percent of the population under 18 or over 64 years of age (i.e., dependency); and per capita income. Indicators for Chicago as a whole are provided in the final row of the table. See the full dataset description for more information at: https://data.cityofchicago.org/api/views/fwb8-6aw5/files/A5KBlegGR2nWI1jgP6pjJl32CTPwPbkl9KU3FxlZk-A?download=true&filename=P:\EPI\OEPHI\MATERIALS\REFERENCES\ECONOMIC_INDICATORS\Dataset_Description_socioeconomic_indicators_2012_FOR_PORTAL_ONLY.pdf

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Household

UNITS IDENTIFIED: - Dwellings: No - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: No - Special populations: Yes (Homeless, refugees, camps)

UNIT DESCRIPTIONS: - Dwellings: A building is an independent free-standing structure irrespective of its construction material, composed of one or more rooms. - Households: A household consists of a person or a group of persons who live together in the same housing unit or part of it and who consider themselves as one unit in terms of the provision of food and/or other essentials of living for the group. When most of the members of such a group are related by blood (i.e., biologically) the group shall be referred to as a Private Household for the purpose of the census. On the other hand when the group (i.e., household as defined earlier) consists of members who are not related by blood and they are more than 10, they will be considered as Non-Institutional Collective Household. Note that if the group consists of 10 or less members, it should be considered a private household. - Group quarters: An institution is usually a set of premises used to house a large number of people who are not related by blood or marriage but bound together by a common objective or personal interest (e.g., universities, boarding houses, hospitals, army barracks, camps, prisons, hotels, etc.)

Universe

Residents of Sudan

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Central Bureau of Statistics

SAMPLE DESIGN: Long form questionnaire for sedentary households (selected enumeration areas) and a sample of nomad households.

SAMPLE UNIT: Household

SAMPLE FRACTION: 16.6%

SAMPLE SIZE (person records): 5,066,530

Mode of data collection

Face-to-face [f2f]

Research instrument

Two forms: Long Questionnaire (for a sample of areas) and Short Questionnaire (for the rest of the country). The information used here is based on the long form questionnaire.

Geographic coverage

National coverage

Analysis unit

households/individuals

Kind of data

Census

Frequency of data collection

Yearly

Sampling procedure

Sample size:

Abstract

The Government of Liberia considered the 2008 National Population and Housing Census (NPHC) a necessary prerequisite for assessing the socio-economic needs of its population and, hence, it attaches great importance to the determination of the current numbers and distribution of the population in pursuance of its program for national development. Therefore, the census organization provided for participation at all levels of Government, civil society and non-governmental organizations through the formation of committees, working in close collaboration with and under the direct supervision of authority from the Census Commission.

The mapping exercise that preceded the census canvassed the whole country and drew all boundaries of the administrative hierarchy and geographically positioned the various localities. Hence, the 2008 Population and Housing Census (NPHC) will, to a certain extent, bridge the statistics gaps mentioned above by offering national and sub-national baseline statistics and updated demographic indicators.

Globally, the methodology of census taking has been improving over the years and the 2008 NPHC portrays these improvements. However, there are two basic additions to this census; foremost, the shift from the de jure censuses of 1962, 1974 and 1984 to a de facto census in 2008 and, secondly, the inclusion of an Agricultural Module. The de jure census records usual residents of the household while the de facto one records persons who spent a reference night in the household. De facto censuses are easier to conduct and, hence, most countries adopt them. Liberia being a predominantly agricultural country, the 'Agricultural Module' was introduced with the aim of generating a sampling frame that will be used to design and implement agricultural surveys in the future.

The enumeration started on the morning of 21st of March, 2008 and ended in the evening of 30th March, 2008. It was done by trained enumerators who administered a standard questionnaire to the household heads or any other knowledgeable household members. Arrangements were made to ensure that special categories of the population were enumerated; for example, street children who do not live in formal households, in-mates in hotels and transients at air and sea ports.

Geographic coverage

National

Analysis unit

• Individuals;
• Households.

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Cleaning operations

The processing of data collected in a census constitutes one of the most important and challenging activities that have to be undertaken efficiently and expeditiously in order to justify the immense resources invested in a census. This activity entailed several processes: manual editing of the questionnaires after enumeration, data capture, data cleaning and validation, and finally tabulation. Intelligence character recognition (ICR) technology will be employed for data capture.

Government’s commitment to provide provisional results within two and half months after enumeration and final results within another six months greatly influenced the strategies and actions adopted at every stage of data processing in order to adhere to the commitment.

The Juvenile Residential Facility Census (JRFC) collected basic information on facility characteristics, including size, structure, security arrangements, and ownership. It also collected information on the use of bedspace in the facility to indicate whether the facility was experiencing crowding. The JRFC included questions about the type of facility, such as detention center, training school, ranch, or group home. This information was complemented by a series of questions about other residential services provided by the facility, such as independent living, foster care, or other arrangements. While not evaluating the effectiveness or quality of these services, the JRFC gathered important information about the youth the services were directed toward and how the services were provided. The census indicated the use of screenings or tests conducted to determine counseling, education, health, or substance abuse needs, and also examined prominent issues about conditions of confinement, including the restraint of youth and improper absences from the facility. Congress requires the Office of Juvenile Justice and Delinquency Prevention (OJJDP) to report annually on the number of deaths of juveniles in custody; JRFC collected information on such deaths for the one-year period just prior to the census reference date. The census reference date was the fourth Wednesday in October.

Abstract

The population census is the most fundamental source of national population data required by a country for administrative purposes as well as for economic and social planning and research. It is expected to provide a comprehensive and reliable inventory of a country's population. Apart from the size of population in each of the administrative units which is the basic information provided by the census, an analysis of the census data provides information on trends in population growth, age and sex structure of the population, the levels of mortality and fertility, the course of migration, trends in urbanization and on many more characteristics of the population. A study of the current demographic levels and past trends is very essential in making population projections that form the basis of national plans for economic development and other welfare programmes.

The demographic, social and economic indicators as well as other bench mark data at small area levels produced by the 2008 Census will go a long way in monitoring and evaluating the implementation of National Strategic Development Plan programmes in the future."

Geographic coverage

National

Analysis unit

Individual Household Woman of reproductive age Deceased household member Household in dwelling unit

Universe

All resident households in Cambodia

Kind of data

Census/enumeration data [cen]

Sampling procedure

Not Applicable

Mode of data collection

Face-to-face

Research instrument

The census questionnaires evolved after carefully taking into account past experience, the present needs of the Government and the data users. The questions were so worded as to be simple and at the same time enable collection of reliable data.

Two meetings were held to elicit the views of stake holders and data users regarding the contents of the census questionnaires and the tabulation plan. The census questionnaires were pre-tested twice in the field. A pilot census was conducted in a few Enumeration Areas (EAs) as a dress rehearsal for the census. All these exercises proved very useful in finally adopting the census questionnaires and the tabulation plan.

There were two main census questionnaires: - (i) the house list (Form A) and (ii) the household questionnaire (Form B). A few census forms were also to be filled-in by enumerators. Buildings with households were first listed in Form A. This was done three days ahead of the main enumeration along with updating the EA map (29 February to 2 March 2008). Form B which is the main census questionnaire was filled-in by enumerators after interviewing each household during March 3 to March 13. The questionnaires were prepared in English and Khmer.

Here are details of the two Forms: FORM A: HOUSE LIST

FORM B: HOUSEHOLD QUESTIONNAIRE PART 1. Identification Particulars PART 2. Individual Particulars PART 3. Fertility Information of Females Aged 15 and over listed in column 2 PART 4. Housing Condition and Facilities PART 5. Deaths in Household

Cleaning operations

The census data processing division of NIS is responsible for manual editing and coding of questionnaires, data entry, computer editing and tabulation, and the generation of products like the population database and maintenance of the web site.

Sampling error estimates

Not Applicable

The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each TIGER/Line Shapefile is designed to stand alone as an independent data set or the shapefiles can be combined to cover the whole nation.

Abstract

For 156 years (1840 - 1996), the U.S. Department of Commerce, Bureau of the Census was responsible for collecting census of agriculture data. The 1997 Appropriations Act contained a provision that transferred the responsibility for the census of agriculture from the Bureau of the Census to the U.S. Department of Agriculture (USDA), National Agricultural Statistics Service (NASS). The 2007 Census of Agriculture is the 27th Federal census of agriculture and the third conducted by NASS. The first agriculture census was taken in 1840 as part of the sixth decennial census of population. The agriculture census continued to be taken as part of the decennial census through 1950. A separate middecade census of agriculture was conducted in 1925, 1935, and 1945. From 1954 to 1974, the census was taken for the years ending in 4 and 9. In 1976, Congress authorized the census of agriculture to be taken for 1978 and 1982 to adjust the data reference year so that it coincided with other economic censuses. This adjustment in timing established the agriculture census on a 5-year cycle collecting data for years ending in 2 and 7. Agriculture census data are used to:

• Evaluate, change, promote, and formulate farm and rural policies and programs that help agricultural producers; • Study historical trends, assess current conditions, and plan for the future; • Formulate market strategies, provide more efficient production and distribution systems, and locate facilities for agricultural communities; • Make energy projections and forecast needs for agricultural producers and their communities; • Develop new and improved methods to increase agricultural production and profitability; • Allocate local and national funds for farm programs, e.g. extension service projects, agricultural research, soil conservation programs, and land-grant colleges and universities; • Plan for operations during drought and emergency outbreaks of diseases or infestations of pests. • Analyze and report on the current state of food, fuel, feed, and fiber production in the United States.

American Samoa is one of the territories collectively referred as the "US Outlying areas". The 2008 American Samoa Census of Agriculture was conducted by personal interviews of all farm operations on the list of commercial farms, and supplemented by an area sample of the remaining households. The purpose of the area sample was to efficiently accountfor farms not on the commercialfarmlist and provide an accurate measure of the agricultural activity in American Samoa.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit for the CA 2008 was the farm, an operating unit defined as any place from which USD 1 000 or more of agricultural products were produced and sold, or normally would have been sold, during the census year.

Kind of data

Census/enumeration data [cen]

Sampling procedure

i. Methodological modality for conducting the census The classical approach was used in the CA 2008.

ii. sample design The design of the sample for the 2008 Census of Agriculture made use of materials and information available from the American Samoa Department of Commerce. These included detailed maps of all the islands in the territory, up-to-date map-spotting (location on a map) of all households in the territory, a system of numbering each household to provide it a unique identifier, and identification of householdswhich were on the list of commercial farms. The households that were on the list of commercial farms were excluded from the universe used to select the area sample. A random sample of the remaining households was selected, using the available maps with the household identification information. It was determined that a 20 percent sample would be optimal. A serpentine selection methodology, starting at a point determined by the generation of a random number, was used to select the area sample.

Mode of data collection

Face-to-face paper [f2f]

Research instrument

One questionnaire was used which collected information on:

• Land owned
• Field crops
• Fruit
• Root crops
• Cattle and calves
• Poultry
• Aquaculture
• Expenditure
• Production expenses
• Machinery, equipment and buildings
• Household characteristics

Cleaning operations

1. DATA PROCESSING AND ARCHIVING The completed forms were scanned and Optical Mark Recognition (OMR) was used to retrieve categorical responses and to identify the other answer zones in which some type of mark was present. The edit system determined the best value to impute for reported responses that were deemed unreasonable and for required responses that were absent. The complex edit ensured the full internal consistency of the record. After tabulation and review of the aggregates, a comprehensive disclosure review was conducted. Cell suppression was used to protect the cells that were determined to be sensitive to a disclosure of information.

2. CENSUS DATA QUALITY NASS conducted an extensive program to follow-up all non-response. NASS also used capture-recapture methodology to adjust for under-coverage, non-response, and misclassification. To implement capture-recapture methods, two independent surveys were required --the 2012 Census of Agriculture (based on the Census Mail List) and the 2012 June Agricultural Survey (based on the area frame). Historically, NASS has been careful to maintain the independence of these two surveys.

Data appraisal

The complete data series from the 2008 Census of Agriculture is available from the NASS website free of charge in multiple formats, including Quick Stats 2.0 - an online database to retrieve customized tables with Census data at the national, state and county levels. The 2012 Census of Agriculture provides information on a range of topics, including agricultural practices, conservation, organic production, as well as traditional and specialty crops.

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Dwellings, households and individuals

UNITS IDENTIFIED: - Dwellings: No - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Yes

Universe

Persons who spent the reference night in a household in Liberia

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: Liberian Institute of Statistics and Geo-Information Systems

SAMPLE DESIGN: Systematic sample of every 10th household with a random start, drawn by the Minnesota Population Center.

SAMPLE UNIT: Households

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 348,057

Mode of data collection

Face-to-face [f2f]

Research instrument

Single form with sections on individuals, housing characteristics, housing amenities, agriculture and deaths.

In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries.

Abstract

In addition to variables collected in past censuses, 2he 2008 Census contains information on disability statistics, emigration, maternal and general deaths, and orphan hood status of children aged 18 years or younger.

Geographic coverage

National

Analysis unit

• Households
• Individuals
• Household members aged 6 years or older
• Women aged 12 years or older

Kind of data

Census/enumeration data [cen]

Sampling procedure

Not applicable

Mode of data collection

Face-to-face [f2f]

This layer was developed by the Research & Analytics Division of the Atlanta Regional Commission by joining Population 2000-2008 to Census Tracts (2000) for the 20 county Atlanta Region. Attributes:FIPSTCO = Federal Information Processing Code Standard (FIPS) codes for State and CountyTRACT = 2000 Census Tract numberSTFID = A concatenation of the two previous fieldsTRACTID = 2000 Census Tract number (to 2 decimal places)WFD, MPO etc. = Fields indicating to which ARC Planning Region each tract belongsACRES = Area of tracts in acresSQ_MILES = Area of tracts in square milesfipsco = Geographic Identifier (County)ct00 = Census Tract Numberacres = Number of acrespop08 = Population 2008pop00 = Population 2000pop_ch = Population change, 2000 - 2008pop_pch = Percent change in population, 2000 - 2008popch_ac = Number of persons added per acreaachange = Average Annual Changedens08 = Population density in 2008 (population/acres)dens00 = Population density in 2000 (population/acres)

An additional table is included in the tables folder, detailing population by region, county, city, superdistricts, and census tracts.

Source: U.S. Census Bureau, Atlanta Regional CommissionDate: 2000 (Census), 2008(ARC)For additional information, please visit the Atlanta Regional Commission at www.atlantaregional.com

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Household

UNITS IDENTIFIED: - Dwellings: No - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Yes - Special populations: Yes (Homeless)

UNIT DESCRIPTIONS: - Dwellings: A dwelling unit may be defined as any structure; permanent, semi permanent or traditional where people live and sleep. It may be a hut, house, stores with a sleeping room or rooms at the back or sides, a shelter of reeds/straw such as those used by fishermen, or any other structure where people sleep. - Households: A household consists of one or more persons, related or unrelated, who live together and make common provision for food. They regularly take all their food from the same pot, and/or share the same grain store (nkhokwe) or pool their incomes for the purpose of purchasing food. Persons in a household may live in one or more dwelling units. - Group quarters: Collective household refers to a large group of people who live together and sharing common facilities such as kitchen, toilet, lounge, and dormitories. In such situation the residents may not have complete independent quarters that qualify as housing units as their living quarters during the census period.

Universe

All persons present in Malawi at the time of census. These include foreigners with acknowledged status as refugees, and citizens of Malawi who at the time of census are absent temporarily (less than 6 months). However, diplomatic personnel of the foreign diplomatic and consular representative offices, foreign military personnel and their family members, and the members and representatives of the international organizations and communities located in Malawi are not enumerated.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: National Statistical Office

SAMPLE DESIGN: Systematic sample of every 10th household with a random start, drawn by the Minnesota Population Center

SAMPLE UNIT: Household

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 1,343,078

Mode of data collection

Face-to-face [f2f]

Research instrument

Census questionnaire containing questions on demographic and socio-economic characteristics of the population, dwelling unit characteristics, emigration, and maternal and general deaths

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each TIGER/Line Shapefile is designed to stand alone as an independent data set or the shapefiles can be combined to cover the whole nation.

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system. The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

In 1998, the Florida Fish and Wildlife Conservation Commission's (FWC) Fisheries Independent Monitoring (FIM) program began a long-term monitoring effort of key reef fish populations in the Florida Keys National Marine Sanctuary. This effort was aimed at evaluating the relative abundance, size structure, and habitat utilization of specific reef fish species that are targeted by commercial and recreational fisheries.

Abstract

IPUMS-International is an effort to inventory, preserve, harmonize, and disseminate census microdata from around the world. The project has collected the world's largest archive of publicly available census samples. The data are coded and documented consistently across countries and over time to facillitate comparative research. IPUMS-International makes these data available to qualified researchers free of charge through a web dissemination system.

The IPUMS project is a collaboration of the Minnesota Population Center, National Statistical Offices, and international data archives. Major funding is provided by the U.S. National Science Foundation and the Demographic and Behavioral Sciences Branch of the National Institute of Child Health and Human Development. Additional support is provided by the University of Minnesota Office of the Vice President for Research, the Minnesota Population Center, and Sun Microsystems.

Geographic coverage

National coverage

Analysis unit

Household

UNITS IDENTIFIED: - Dwellings: No - Vacant units: No - Households: Yes - Individuals: Yes - Group quarters: Yes (institutional) - Special populations: Yes (homeless)

UNIT DESCRIPTIONS: - Dwellings: A building is generally a single structure on the ground. It is covered by a roof and usually enclosed within external walls or with common dividing walls with adjacent buildings. In some areas the very nature of construction of houses is such that there may not be any wall. Sometimes a building is made up of more than one component unit which are used or likely to be used as dwellings (residences) or as establishments such as shops, business houses, offices, factories, workshops, work-sheds, schools, places of entertainment and places of worship or as go-downs, stores, animal sheds, etc. - Households: A household is a group of persons who commonly live together and would take their meals from a common kitchen unless the exigencies of work prevented any of them from doing so. There may be a household of persons related by blood, a household of unrelated persons or a mix of both. - Group quarters: An institutional household is a household of unrelated persons like boarding houses, messes, hostels, residential hotels, rescues homes, jails, pagodas, etc. It should be noted that if a group of persons who are unrelated to each other live in a building/structure, but do not have their meals from a common kitchen, then they would not constitute an institutional household.

Kind of data

Census/enumeration data [cen]

Sampling procedure

MICRODATA SOURCE: National Institute of Statistics, Ministry of Planning

SAMPLE DESIGN: Stratified systematic sample.

SAMPLE UNIT: Households

SAMPLE FRACTION: 10%

SAMPLE SIZE (person records): 1,340,121

Mode of data collection

Face-to-face [f2f]

Research instrument

Form A: Houselist and Form B: Household Questionnaire. The latter for the information used here.