18 datasets found
  1. d

    2001 Census of Population [Canada] Public Use Microdata File (PUMF):...

    • dataone.org
    Updated Dec 28, 2023
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    Statistics Canada (2023). 2001 Census of Population [Canada] Public Use Microdata File (PUMF): Families File [Dataset]. http://doi.org/10.5683/SP3/TZVB8K
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    Description

    The 2001 Census Public Use Microdata File (PUMF) on Families contains data based on a 2.7% sample of the population enumerated in the census. It provides information on the demographic, social and economic characteristics of the census families and non-family persons. This microdata file allows users to group and manipulate the data to suit their own requirements. The documentation (metadata) provided in the PUMF on families is divided into four chapters: Chapter I contains the record layout, an essential tool for using the file; Chapter II describes the variables included in the file; Chapters III and IV deal with the sampling method and data quality. There are two other public use microdata files: one on individuals and another on households and housing. For the 2001 Census, several changes were made to the census family concept: Two persons living in a same-sex common-law relationship, along with any of their children residing in the household, will be considered a census family. Children in a census family can have been previously married (as long as they are not currently living with a spouse or common-law partner). Previously, they had to be "never-married". A grandchild living in a three-generation household where the parent (middle generation) is never-married will, contrary to previous censuses, now be considered as a child in the census family of his or her parent, provided the grandchild is not living with his or her own spouse, common-law partner, or child. Traditionally, the census family usually consisted of the two older generations. A grandchild of another household member, where a middle-generation parent is not present, will now be considered as a child in the census family of his or her grandparent, provided the grandchild is not living with his or her own spouse, common-law partner, or child. Traditionally, such a grandchild would not be considered as the member of a census family. For same-sex common-law couples, the records were handled as follows: regardless of the sex of each partner, the census family reference person was designated as the male common-law partner, and his or her partner was designated as the female common-law partner. The question on religion, which is asked every 10 years, was re-introduced in 2001. In 2001, two new questions were added: one on the birthplace of parents and the other on the language of work. A second part was also added to the question on home language. In view of the legal recognition of same-sex couples, the census definition of a common-law couple was changed to "two people of the opposite sex or of the same sex who live together as a couple but who are not legally married to each other". The question on fertility was not asked in the 2001 census.

  2. i

    Population Census Jamaica 1991 - IPUMS Subset - Jamaica

    • catalog.ihsn.org
    • datacatalog.ihsn.org
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    Updated Mar 29, 2019
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    Minnesota Population Center (2019). Population Census Jamaica 1991 - IPUMS Subset - Jamaica [Dataset]. http://catalog.ihsn.org/catalog/2310
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    Dataset updated
    Mar 29, 2019
    Dataset provided by
    Division of Censuses and Related Studies, Statistical Institute of Jamaica
    Minnesota Population Center
    Time period covered
    1991
    Area covered
    Jamaica
    Description

    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

    Housing unit, dwellings, and households

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

    UNIT DESCRIPTIONS: - Dwellings: A dwelling unit is any building or separate and independet part of a building in which a person or group of persons living at the time of the Census. - Households: A household consists of one person who lives alone or a group of persons who, as a unit, jointly occupies the whole or part of a dwelling unit, who have common arrangements for housekeeping, and who generally share at least one meal. The household may be composed of related persons only, of unrelated persons, or of a combination of both. - Group quarters: Non-private dwelling or group dwellings are defined as living quarters in which the occupants live collectively for disciplinary, health, educational, religious, military, work or other reasons. Living collectively means that they usually eat common meals and share common domestic services.

    Universe

    All Jamaicans and non-Jamaican whose usual place of residence was in Jamaica even if they were temporarily (less than 6 months) abroad at the time of the census, including foreign diplomats in Jamaica. Jamaican diplomatic personnel serving in the missions overseas were excluded

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    MICRODATA SOURCE: Statistical Institute of Jamaica

    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): 232,625

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    There are 2 forms: Form C-1 (Census questionnaire) and Form C-3 (Visitation Record, Private Dwelling)

    Response rate

    COVERAGE: 100% of population and housing characteristics

  3. a

    Marital Status, Family Characteristics, Household Type, Age and Sex for the...

    • hamiltondatacatalog-mcmaster.hub.arcgis.com
    Updated Feb 3, 2023
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    jadonvs_McMaster (2023). Marital Status, Family Characteristics, Household Type, Age and Sex for the Population, Hamilton Census Subdivision, 2021 Census [Dataset]. https://hamiltondatacatalog-mcmaster.hub.arcgis.com/items/3ebd4b7318dd42a19b14158d6d98b094
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    Dataset updated
    Feb 3, 2023
    Dataset authored and provided by
    jadonvs_McMaster
    Description

    Data quality:Total non-response (TNR) rate, short-form census questionnaire: 2.5%Total non-response (TNR) rate, long-form census questionnaire: 3.5%Notes: 5: A census family is defined as a married couple (with or without children a common-law couple (with or without children) or a one-parent family. For more information refer to the Census Dictionary: Census family structure.6: There is no age restriction on children. Includes children living with a grandparent or grandparents without a parent present.7: Includes foster children.8: Multigenerational households represent all households where there is at least one person who is both the grandparent of a person in the household and the parent of another person in the same household. They also represent all households where there is at least one person who is both the child of a person in the household and the grandchild of another person in the same household. In previous censuses multigenerational households were only created based on the former definition not the latter. As a result there may be small differences in counts for 2011 and 2016 in archived tables.9: Excludes multigenerational households.

  4. i

    Housing and Population Census 1980-81 - IPUMS Subset - Pakistan

    • catalog.ihsn.org
    • datacatalog.ihsn.org
    • +1more
    Updated Mar 29, 2019
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    Population Census Organization (2019). Housing and Population Census 1980-81 - IPUMS Subset - Pakistan [Dataset]. https://catalog.ihsn.org/catalog/495
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    Dataset updated
    Mar 29, 2019
    Dataset provided by
    Minnesota Population Center
    Population Census Organization
    Time period covered
    1981
    Area covered
    Pakistan
    Description

    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: No - Individuals: Yes - Group quarters: No

    UNIT DESCRIPTIONS: - Dwellings: Housing units means such a residential place which has separate building structure and is separate housing unit. These could be one or more than one housing units in a building. Housing unit and house are the same by definition in population and housing census. - Households: Households consisting of more than one person living together under common cooking arrangements (i.e., they use one burner for cooking). However if a person lives alone, he shall also be considered a household. These persons are generally relatives but these could also be friends, servants of the household and other non relatives residing in them. In such a case if the members of household do not eat at the place where they live, then they will be counted at the place where they live rather than at a place where they take their meals. - Group quarters: Housing unit which has been constructed for collective residence in connection with semi-government or trading purpose. e.g. hotel , hostel , residential barracks of Armed or semi Armed forces, residential camps, jail, Sanitarium, Mental hospital, Disabled, poor , orphans, paupers and special institutions for residences of other such people.

    Universe

    All the people who are residing in the boundaries of Pakistan on the Census Day, which include all types of persons (i.e., infants or babies, adults or old, males or females, landlords or tenants, Pakistanis or foreigners). The staff members of diplomats and their families are exempted.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    MICRODATA SOURCE: Population Census Organization

    SAMPLE DESIGN: Systematic sample of every 10th person with a random start, drawn from a 38% sample containing a weight variable (Short form data) by the Minnesota Population Center. Persons were not organized into households.

    SAMPLE UNIT: Person

    SAMPLE FRACTION: 10%

    SAMPLE SIZE (person records): 8,433,058

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    There are two Population Census forms. The short form contains a few question on demographic characteristics including name, relationship, residential status, sex, age, marital status, religion, ability to read Quran, literacy, education level, and language used in the household. These questions were asked from about ninety percent of the population. The long form will be asked of the rest of the population, and it contains all the questions asked in the short form and additional questions on higher education, field of education, migration, economic characteristics, number of children, disability, and household members living abroad.

  5. Distribution of households in the U.S. 1970-2024, by household size

    • statista.com
    • ai-chatbox.pro
    Updated Jan 6, 2025
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    Statista (2025). Distribution of households in the U.S. 1970-2024, by household size [Dataset]. https://www.statista.com/statistics/242189/disitribution-of-households-in-the-us-by-household-size/
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    Dataset updated
    Jan 6, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, 34.59 percent of all households in the United States were two person households. In 1970, this figure was at 28.92 percent. Single households Single mother households are usually the most common households with children under 18 years old found in the United States. As of 2021, the District of Columbia and North Dakota had the highest share of single-person households in the United States. Household size in the United States has decreased over the past century, due to customs and traditions changing. Families are typically more nuclear, whereas in the past, multigenerational households were more common. Furthermore, fertility rates have also decreased, meaning that women do not have as many children as they used to. Average households in Utah Out of all states in the U.S., Utah was reported to have the largest average household size. This predominately Mormon state has about three million inhabitants. The Church of the Latter-Day Saints, or Mormonism, plays a large role in Utah, and can contribute to the high birth rate and household size in Utah. The Church of Latter-Day Saints promotes having many children and tight-knit families. Furthermore, Utah has a relatively young population, due to Mormons typically marrying and starting large families younger than those in other states.

  6. i

    Population and Housing Census 2011 - Jamaica

    • catalog.ihsn.org
    • datacatalog.ihsn.org
    Updated Mar 29, 2019
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    Division of Censuses (2019). Population and Housing Census 2011 - Jamaica [Dataset]. https://catalog.ihsn.org/catalog/4072
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    Dataset updated
    Mar 29, 2019
    Dataset provided by
    Division of Censuses
    Social and Demographic Statistics
    Time period covered
    2011
    Area covered
    Jamaica
    Description

    Abstract

    Jamaica conducted its Fourteenth Census of Population and Housing in 2011. Under the provisions of the Statistics Act, the Statistical Institute of Jamaica (STATIN) is vested with the authority to conduct any census in Jamaica. The census plays an essential role in all elements of the national statistical system, including the economic and social components. Census statistics are used as benchmarks for statistical compilation or as a sampling frame for household sample surveys. The national statistical system of almost every country relies on sample surveys for efficient and reliable data collection. Without the sampling frame derived from the population and housing census, the national statistical system would face difficulties in providing current reliable official statistics.

    While recognizing the importance of the census however, countries are faced with serious resource constraints. Census taking in Jamaica faces not only the challenge of limited resources but an apathetic public which views official data collection with suspicion and even hostility. Despite a vibrant publicity programme for Census 2011, the level of cooperation particularly in some urban centres was disappointing. Worker attitude also presented problems as in a number of cases workers had to be relieved of their duties due to poor and or unproductive work. There was not always sufficient recognition of the fact that remuneration was for work done.

    Geographic coverage

    National coverage

    Analysis unit

    • Individuals;
    • Household.

    Universe

    The 2011 census, like all since 1943, was conducted on a 'de jure' basis. The 'de jure' count includes all persons, Jamaicans and non-Jamaicans whose usual place of residence was in Jamaica even if they were temporarily (less than six months) abroad at the time of the census.

    The following groups were excluded: (i) All Jamaicans (including diplomatic personnel) who were away from the country for six months or more; (ii) All visitors to Jamaica who are usual residents of other countries; and (iii) All foreign diplomatic personnel located in Jamaica.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    The census design included a Post Enumeration Survey planned as a coverage assessment tool. The Post Enumeration Survey was conducted during the period September 7-30, 2011 in all parishes and covered a 5 per cent sample of census EDs. A total of 286 EDs were eventually canvassed.

    Jamaica was divided into 5,776 geographic units called enumeration districts (EDs) for the purpose of data collection during the 2011 Population and Housing Census. Each ED is an independent unit which shares common boundaries with contiguous EDs. The number of dwellings/households contained in the ED (estimated before the census) was the primary determination of the size of an ED. This was approximately 150 dwellings/households in urban areas and 100 in rural areas. Each ED was designed to be of a size that would ensure an equitable work load for each census taker, and because dwellings are more widely spaced in rural areas than in urban areas, rural EDs usually contained fewer dwellings/households than their urban counterpart. When grouped together, enumeration districts reconstitute larger divisions; special area, constituency and the parish.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    One questionnaire was developed for use in the census to collect information from individuals and one for households. The topics included on the census questionnaire were as follows:

    Individual: - Age - Sex - Relationship to Head of Household - Religious Affiliation - Ethnic origin - Marital and Union Status - Educational Attainment - Physical and Mental Limitations - Birthplace and Residence - Training - Economic Activity and Social Welfare - Fertility - Transportation - Information and Communication Technology.

    Household: - Type of Unit - Material of outer walls - Material of Roofing - Number of rooms - Tenure of Land and Dwelling - Availability and Type of Kitchen, Bathroom and Toilet Facilities - Method of Disposal of Solid Waste - Source of Water for Domestic Use - Source of Drinking Water - Type of Lighting - Type of Fuel used for Cooking - Availability of Telephone and other Communication Devices and facilities - Migration and Mortality.

    Cleaning operations

    The data collecting method utilised was the "interviewer Method" One census taker was assigned to each enumeration district (to be defined) to list every building in the area assigned. Where the building was found to be the living quarters of an individual or a group of individuals the form was completed for each household and each person. Each census taker worked with a household form and an individual form. Consideration was also given to the enumeration of persons who live in institutions as well as persons who were located on the streets and this was taken into account in the design.

    The processing of the census returns is a massive undertaking for which STATIN sought to utilize modern technology for this phase. The data processing of the questionnaires was out-sourced to XSOMO International Ltd., who was required to produce the electronic data in a database format and images of the questionnaires. Scanning of the forms which began in June 2011 ended on January 31, 2012. The data editing and cleaning were done using software developed internally and shared via the intranet. The validity and consistency checks which followed have been completed for those variables which have been included in this report. A full and clean database, from which tables on all census topics will be produced, is expected by December 2012.

  7. i

    Census of Population and Housing 2010 - Philippines

    • catalog.ihsn.org
    Updated Oct 10, 2017
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    National Statistics Office (2017). Census of Population and Housing 2010 - Philippines [Dataset]. https://catalog.ihsn.org/catalog/7171
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    Dataset updated
    Oct 10, 2017
    Dataset authored and provided by
    National Statistics Office
    Time period covered
    2010
    Area covered
    Philippines
    Description

    Abstract

    Census of Population and Housing (CPH) refers to the entire process of collecting, compiling, evaluating, analyzing, publishing, and disseminating data about the population and the living quarters in a country. It entails the listing and recording of the characteristics of each individual and each living quarter as of a specified time and within a specified territory. In other words, the CPH offers a “snapshot” of the entire population on a specific date, that is, how many people reside within the national borders, who they are, and where they live during such specified date. Also, included are the characteristics of the housing units where they reside.

    The 2010 CPH is designed to take an inventory of the total population and housing units in the Philippines and collect information about their characteristics. The census of population is the source of information on the size and distribution of the population, as well as their demographic, social, economic, and cultural characteristics. The census of housing, on the other hand, provides information on the stock of housing units and their structural characteristics and facilities which have bearing on the maintenance of privacy and health, and the development of normal family living conditions. These information are vital for making rational plans and programs for local and national development.

    Specifically, the 2010 CPH aims to: - obtain comprehensive data on the size, composition, and distribution of the population of the Philippines; - gather data on birth registration, literacy, school attendance, place of school, highest grade/year completed, residence 5 years ago, overseas worker, usual occupation, kind of business or industry, class of worker, place of work, fertility, religion, citizenship, ethnic group, disability, and functional difficulty, and determine their geographic distribution; - take stock of the housing units existing in the country and to get information about their geographic location, structural characteristics, and facilities, among others; - obtain information on the characteristics of the barangay, which will be used as basis for urban-rural classification; and - serve as sampling frame for use in household-based surveys.

    Data collected in this census were compiled, evaluated, analyzed, published, and disseminated for the use of government, business, industry, social scientists, other research and academic institutions, and the general public. Among the important uses of census data are the following:

    In government: - redistricting and apportionment of congressional seats; - allocation of resources and revenues; - creation of political and administrative units; - formulation of policies concerning population and housing; and - formulation of programs relative to the delivery of basic services for health, education, housing, and others

    In business and industry: - determination of sites for establishing businesses; - determination of consumer demands for various goods and services; and - determination of supply of labor for the production of goods and services

    In research and academic institutions: - conduct of researches on population and other disciplines; and - study of population growth and distribution as basis in preparing projections

    Geographic coverage

    National coverage Regions Provinces Cities and Municipalities Barangays

    Analysis unit

    household questionnaire: individuals (household members), households, housing units institutional questionnaire: individuals (institutional population), institutional living quarters barangay questionnaire: barangay

    Universe

    Census-taking in the Philippines follows a de-jure concept wherein a person is counted in the usual place of residence or the place where the person usually resides. Information on the count of the population and living quarters were collected with 12:01 a.m. of May 1, 2010 as the census reference time and date.

    The following individuals were enumerated:

    • Those who were present at the time of visit and whose usual place of residence is the housing unit where the household lives.

    • Those whose usual place of residence is the place where the household lives but are temporarily away at the time of the census.

    • Boarders/lodgers of the household or employees of household-operated businesses who do not usually return/go to their respective homes weekly.

    • Overseas workers and who have been away at the time of the census for not more than five years from the date of departure and are expected to be back within five years from the date of last departure.

    • Filipino "balikbayans" with usual place of residence in a foreign country but have resided or are expected to reside in the Philippines for at least a year from their arrival.

    • Citizens of foreign countries who have resided or are expected to reside in the Philippines for at least a year from their arrival, except members of diplomatic missions and non-Filipino members of international organizations.

    • Persons temporarily staying with the household who have no usual place of residence or who are not certain to be enumerated elsewhere.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    In the 2010 CPH, there are basically two types of questionnaires used for the enumeration of household members. These are CPH Form 2 or the Common Household Questionnaire and CPH Form 3 or the Sample Household Questionnaire. CPH Form 3 contains more questions than CPH Form 2.

    The 2010 CPH was carried out through a combination of complete enumeration and sampling. For this census, systematic cluster sampling was adopted. This sampling method is designed in such a way that efficient and accurate estimates will be obtained at the city/municipality level.

    The sampling rate or the proportion of households to be selected as samples depends on the size of the city/municipality where the Enumeration Area (EA) is located. For the cities/municipalities with estimated number of households of 500 and below, 100 percent sampling rate was used. While for those cities/municipalities with estimated number of households of 501 and above, a sampling rate of 20 percent was implemented.

    In this sampling scheme, each city/municipality was treated as a domain. For city/municipality with 100 percent sampling rate, all households in all the EAs within this city/municipality were selected as samples. For those with a 20 percent sampling rate, systematic cluster sampling was adopted. That is, sample selection of one in five clusters with the first cluster selected at random. Thus in effect, the EAs belonging to the city/municipality with 20 percent sampling rate are divided into clusters of size 5. Random start is pre-determined for each EA.

    If the sampling rate applied to a city/municipality is 100 percent, it means that all households in that municipality were administered with CPH Form 3. If it is 20 percent, it means that 20 percent of all households used CPH Form 3 while 80 percent used CPH Form 2.

    The random start used by EA is a number from 1 to 5 which was used to select the cluster where the first sample households in an EA, and subsequently the other sample households, were included.

    Clusters are formed by grouping together households that have been assigned consecutive serial numbers as they were listed in the Listing Booklet. For a 20 percent sampling rate, clusters were formed by grouping together five households.

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    CPH Form 1 - Listing Booklet This form is a booklet used to list the buildings, housing units, households, and the Institutional Living Quarters (ILQs) within an EA. This form also records other important information such as the name of household heads and name and type of institutions and their addresses, population totals, and counts of males and females.

    CPH Form 2 - Common Household Questionnaire This is the basic census questionnaire, which was used to interview and record information about the common or nonsample households. This questionnaire gathered information on the following demographic and socio-economic characteristics of the population: relationship to household head, sex, date of birth, age, birth registration, marital status, religion, ethnicity, citizenship, disability, functional difficulty, highest grade/year completed, residence 5 years ago, and overseas worker. It also contains questions on the type of building/house, construction materials of the roof and outer walls, state of repair of the building/house, year the building/house was built, floor area of the housing unit, and tenure status of the lot.

    CPH Form 3 - Sample Household Questionnaire This is the basic census questionnaire, which was used to interview and record information about the sample households. This questionnaire contains ALL questions asked in CPH Form 2 PLUS additional population questions: literacy, school attendance, place of school, usual occupation, kind of business or industry, class of worker, place of work, and some items on fertility. Moreover, there are additional questions on household characteristics: fuel for lighting and cooking, source of water supply for drinking and/or cooking and for laundry, and bathing, tenure status of the housing unit, acquisition of the housing unit, source of financing of the housing unit, monthly rental of the housing unit, tenure status of the lot, usual manner of garbage disposal, kind of toilet facility, and land ownership. It also asked questions on the language/dialect generally spoken at home, residence five years from now, and presence of household conveniences/devices, and access to internet.

    CPH Form 4 -

  8. Population and Housing Census 2000 - IPUMS Subset - Malaysia

    • datacatalog.ihsn.org
    • catalog.ihsn.org
    • +1more
    Updated Mar 29, 2019
    + more versions
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    Department of Statistics Malaysia (2019). Population and Housing Census 2000 - IPUMS Subset - Malaysia [Dataset]. https://datacatalog.ihsn.org/catalog/444
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    Dataset updated
    Mar 29, 2019
    Dataset provided by
    Department of Statistics Malaysia
    Minnesota Population Center
    Time period covered
    2000
    Area covered
    Malaysia
    Description

    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

    Dwelling

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

    UNIT DESCRIPTIONS: - Dwellings: Living quarters have been defined for census purposes as places of abode, which are structurally separate and independent. The terms separate and independent mean the following: Separate: A structure is considered separate if it is surrounded by walls, fence, etc., and is covered by roof. Independent: A structure is said to be independent if it has direct access via a public staircase, communal passageway or landing (that is, occupants can come in or go out of their living quarters without passing through someone else?s premises). In general, living quarters can be classified into two categories, that is: (i) Built or converted for living (e.g. house, flat, apartment, shophouse, makeshift hut, hotel, hostels, etc.) (ii) Not meant for living but used for this purpose on Census Day (e.g. in a building such as office, shop, barn, community hall, etc.) Living quarters built or converted for living can be further classified into housing units and collective living quarters. Housing units are classified into six main types, namely: House; Flat/apartment/condominium; Shop house, office; Room (with direct access to the outside); improvised/temporary hut; and others. House can be further classified into Detached house; and Semi-detached house. - Households: Household is a group of persons who: - Usually live together - Make common provisions for food and other essentials of living - Group quarters: --

    Universe

    All persons including foreigners who had stayed or intended to stay in Malaysia for six months or more in the Census year were covered. Apart from Malaysians, the following categories were also included provided they had stayed or intended to stay for 6 months or more in Malaysia: (a) Persons commuting across the Malaysian border (e.g. Singapore and Thailand) for work or studies but maintaining usual residence within Malaysia; (b) Malaysians who were away overseas as tourists, on short-term study or attending conferences/seminars or on business; (c) Expatriates and other foreign workers (including housemaids) as well as their family members; (d) Foreign long-term visitors and students; (e) Foreign military, naval and diplomatic personnel and their families staying in the country except for those who had diplomatic immunity and wished to be excluded; and (f) Persons without permanent homes and were found along footways, etc; The following categories were excluded from the Census count on the basis that they were staying in the country for less than six months in the Census year:- (a) Malaysian citizens and permanent residents who were away or intended to be away from the country for six months or more in the Census year because of work, studies etc.; (b) Malaysian military, naval and diplomatic personnel and their families who were staying outside Malaysia; and (c) Foreigners such as tourists, businessman and the like who stayed or intended to be in Malayisa for less than six months.

    Kind of data

    Census/enumeration data [cen]

    Sampling procedure

    MICRODATA SOURCE: Department of Statistics Malaysia

    SAMPLE DESIGN: With 2 per cent as the sampling fraction, or a sample interval of 50, the sample was selected using the living quarters serial number starting from 1, 51, 101, 151, 201 ??. N.

    SAMPLE UNIT: household

    SAMPLE FRACTION: 2%

    SAMPLE SIZE (person records): 435,300

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    In the 2000 Population and Housing Census, three main schedules were used namely, Documents 1, 2 and 3/3a. Document 1, which is the Listing Book, was used to list all living quarters and obtain some related information. Document 2, which represented the main questionnaire, was divided into three sections. It collected information on living quarters, households and persons. Document 3/3a, which was an abbreviated version of Document 2, was used for institutions.

    Response rate

    UNDERCOUNT: 100%

  9. d

    2001 Census of Population [Canada] Public Use Microdata File (PUMF):...

    • search.dataone.org
    Updated Dec 28, 2023
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    Statistics Canada (2023). 2001 Census of Population [Canada] Public Use Microdata File (PUMF): Individuals File (revision 2) [Dataset]. http://doi.org/10.5683/SP3/AVTQJP
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    Dataset updated
    Dec 28, 2023
    Dataset provided by
    Borealis
    Authors
    Statistics Canada
    Area covered
    Canada
    Description

    The 2001 Census Public Use Microdata File (PUMF) on Individuals contains data based on a 2.7% sample of the population enumerated in the census. It provides information on the demographic, social and economic characteristics of the Canadian population. This microdata file allows users to group and manipulate the data to suit their own requirements. The documentation (metadata) provided in the PUMF on individuals is divided into four chapters: Chapter I contains the record layout, an essential tool for using the file; Chapter II describes the variables included in the file; Chapters III and IV deal with the sampling method and data quality. Changes in the the 2001 Census: The question on religion, which is asked every 10 years, was re-introduced in 2001. In 2001, two new questions were added: one on the birthplace of parents and the other on the language of work. A second part was also added to the question on home language. In view of the legal recognition of same-sex couples, the census definition of a common-law couple was changed to "two people of the opposite sex or of the same sex who live together as a couple but who are not legally married to each other". The question on fertility was not asked in the 2001 census.

  10. Food Security in the United States

    • agdatacommons.nal.usda.gov
    zip
    Updated Nov 30, 2023
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    US Department of Agriculture, Economic Research Service (2023). Food Security in the United States [Dataset]. http://doi.org/10.15482/USDA.ADC/1294355
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    zipAvailable download formats
    Dataset updated
    Nov 30, 2023
    Dataset provided by
    Economic Research Servicehttp://www.ers.usda.gov/
    Authors
    US Department of Agriculture, Economic Research Service
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    United States
    Description

    The Current Population Survey Food Security Supplement (CPS-FSS) is the source of national and State-level statistics on food insecurity used in USDA's annual reports on household food security. The CPS is a monthly labor force survey of about 50,000 households conducted by the Census Bureau for the Bureau of Labor Statistics. Once each year, after answering the labor force questions, the same households are asked a series of questions (the Food Security Supplement) about food security, food expenditures, and use of food and nutrition assistance programs. Food security data have been collected by the CPS-FSS each year since 1995. Four data sets that complement those available from the Census Bureau are available for download on the ERS website. These are available as ASCII uncompressed or zipped files. The purpose and appropriate use of these additional data files are described below: 1) CPS 1995 Revised Food Security Status data--This file provides household food security scores and food security status categories that are consistent with procedures and variable naming conventions introduced in 1996. This includes the "common screen" variables to facilitate comparisons of prevalence rates across years. This file must be matched to the 1995 CPS Food Security Supplement public-use data file. 2) CPS 1998 Children's and 30-day Food Security data--Subsequent to the release of the April 1999 CPS-FSS public-use data file, USDA developed two additional food security scales to describe aspects of food security conditions in interviewed households not captured by the 12-month household food security scale. This file provides three food security variables (categorical, raw score, and scale score) for each of these scales along with household identification variables to allow the user to match this supplementary data file to the CPS-FSS April 1998 data file. 3) CPS 1999 Children's and 30-day Food Security data--Subsequent to the release of the April 1999 CPS-FSS public-use data file, USDA developed two additional food security scales to describe aspects of food security conditions in interviewed households not captured by the 12-month household food security scale. This file provides three food security variables (categorical, raw score, and scale score) for each of these scales along with household identification variables to allow the user to match this supplementary data file to the CPS-FSS April 1999 data file. 4) CPS 2000 30-day Food Security data--Subsequent to the release of the September 2000 CPS-FSS public-use data file, USDA developed a revised 30-day CPS Food Security Scale. This file provides three food security variables (categorical, raw score, and scale score) for the 30-day scale along with household identification variables to allow the user to match this supplementary data file to the CPS-FSS September 2000 data file. Food security is measured at the household level in three categories: food secure, low food security and very low food security. Each category is measured by a total count and as a percent of the total population. Categories and measurements are broken down further based on the following demographic characteristics: household composition, race/ethnicity, metro/nonmetro area of residence, and geographic region. The food security scale includes questions about households and their ability to purchase enough food and balanced meals, questions about adult meals and their size, frequency skipped, weight lost, days gone without eating, questions about children meals, including diversity, balanced meals, size of meals, skipped meals and hunger. Questions are also asked about the use of public assistance and supplemental food assistance. The food security scale is 18 items that measure insecurity. A score of 0-2 means a house is food secure, from 3-7 indicates low food security, and 8-18 means very low food security. The scale and the data also report the frequency with which each item is experienced. Data are available as .dat files which may be processed in statistical software or through the United State Census Bureau's DataFerret http://dataferrett.census.gov/. Data from 2010 onwards is available below and online. Data from 1995-2009 must be accessed through DataFerrett. DataFerrett is a data analysis and extraction tool to customize federal, state, and local data to suit your requirements. Through DataFerrett, the user can develop an unlimited array of customized spreadsheets that are as versatile and complex as your usage demands then turn those spreadsheets into graphs and maps without any additional software. Resources in this dataset:Resource Title: December 2014 Food Security CPS Supplement. File Name: dec14pub.zipResource Title: December 2013 Food Security CPS Supplement. File Name: dec13pub.zipResource Title: December 2012 Food Security CPS Supplement. File Name: dec12pub.zipResource Title: December 2011 Food Security CPS Supplement. File Name: dec11pub.zipResource Title: December 2010 Food Security CPS Supplement. File Name: dec10pub.zip

  11. Vital Signs: Rent Payments – by city

    • data.bayareametro.gov
    application/rdfxml +5
    Updated Aug 21, 2019
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    U.S. Census Bureau: American Community Survey (2019). Vital Signs: Rent Payments – by city [Dataset]. https://data.bayareametro.gov/dataset/Vital-Signs-Rent-Payments-by-city/24ea-kcuw
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    json, application/rssxml, csv, xml, tsv, application/rdfxmlAvailable download formats
    Dataset updated
    Aug 21, 2019
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Authors
    U.S. Census Bureau: American Community Survey
    Description

    VITAL SIGNS INDICATOR Rent Payments (EC8)

    FULL MEASURE NAME Median rent payment

    LAST UPDATED August 2019

    DESCRIPTION Rent payments refer to the cost of leasing an apartment or home and serves as a measure of housing costs for individuals who do not own a home. The data reflect the median monthly rent paid by Bay Area households across apartments and homes of various sizes and various levels of quality. This differs from advertised rents for available apartments, which usually are higher. Note that rent can be presented using nominal or real (inflation-adjusted) dollar values; data are presented inflation-adjusted to reflect changes in household purchasing power over time.

    DATA SOURCE U.S. Census Bureau: Decennial Census 1970-2000 https://nhgis.org Note: Count 1 and Count 2; Form STF1; Form SF3a

    U.S. Census Bureau: American Community Survey 2005-2017 http://api.census.gov Note: Form B25058; 1-YR

    Bureau of Labor Statistics: Consumer Price Index 1970-2017 http://www.bls.gov/data/ Note: All Urban Consumers Data Table (by metro)

    CONTACT INFORMATION vitalsigns.info@bayareametro.gov

    METHODOLOGY NOTES (across all datasets for this indicator) Rent data reflects median rent payments rather than list rents (refer to measure definition above). Larger geographies (metro and county) rely upon ACS 1-year data, while smaller geographies rely upon ACS 5-year rolling average data. 1970 Census data for median rent payments has been imputed by ABAG staff as the source data only provided the mean, rather than the median, monthly rent. Metro area boundaries reflects today’s metro area definitions by county for consistency, rather than historical metro area boundaries.

    Inflation-adjusted data are presented to illustrate how rent payments have grown relative to overall price increases; that said, the use of the Consumer Price Index does create some challenges given the fact that housing represents a major chunk of consumer goods bundle used to calculate CPI. This reflects a methodological tradeoff between precision and accuracy and is a common concern when working with any commodity that is a major component of CPI itself.

  12. U

    Scotland's Census 2022 - UV602a - Economic activity of Household Reference...

    • statistics.ukdataservice.ac.uk
    csv
    Updated Sep 16, 2024
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    National Records of Scotland (2024). Scotland's Census 2022 - UV602a - Economic activity of Household Reference Person (HRP) by age (16 groups) [Dataset]. https://statistics.ukdataservice.ac.uk/dataset/scotland-s-census-2022-uv602a-economic-activity-of-hrp-by-age-16-groups
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    csvAvailable download formats
    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    National Records of Scotland
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    Scotland
    Description

    This dataset provides Census 2022 estimates for Economic activity of Household Reference Person by age (in 16 categories) in Scotland.

    Age

    A person's age on Census Day, 20 March 2022. Infants aged under 1 year are classified as 0 years of age.

    Economic activity

    Economic activity relates to whether or not a person aged 16 and over was working or looking for work in the week before census. Rather than a simple indicator of whether or not someone was currently in employment, it provides a measure of whether or not a person was an active participant in the labour market.

    A person's economic activity is derived from their 'activity last week'. This is an indicator of their status or availability for employment - whether employed, unemployed, or their status if not employed and not seeking employment. Additional information included in the economic activity classification is also derived from information about the number of hours a person works and their type of employment - whether employed or self-employed.

    The census concept of economic activity is compatible with the standard for economic status defined by the International Labour Organisation (ILO). It is one of a number of definitions used internationally to produce accurate and comparable statistics on employment, unemployment and economic status.

    Details of classification can be found here

    Household reference person

    The concept of a Household Reference Person (HRP) was introduced in the 2001 Census (in common with other government surveys in 2001/2) to replace the traditional concept of the 'head of the household'. HRPs provide an individual person within a household to act as a reference point for producing further derived statistics and for characterising a whole household according to characteristics of the chosen reference person.

    For a person living alone, it follows that this person is the HRP.

    If a household contains only one family (with or without ungrouped individuals) then the HRP is the same as the Family Reference Person (FRP).

    The Family Reference Person (FRP) is identified by criteria based on the family make up:

    In a lone parent family it is taken to be the lone parent.

    In a couple family, the FRP is chosen from the two people in the couple on the basis of their economic activity (in the priority order: full-time job, part-time job, unemployed, retired, other). If both people have the same economic activity, the FRP is identified as the elder of the two or, if they are the same age, the first member of the couple on the form.

    If there is more than one family in a household the HRP is chosen from among the FRPs using the same criteria used to choose the FRP. This means the HRP will be selected from the FRPs on the basis of their economic activity, in the priority order:

    • Economically active, employed, full-time, non-student
    • Economically active, employed, full-time, student
    • Economically active, employed, part-time, non-student
    • Economically active, employed, part-time, student
    • Economically active, unemployed, non-student
    • Economically active, unemployed, student
    • Economically inactive, retired
    • Economically inactive, other

    If some or all FRPs have the same economic activity, the HRP is the eldest of the FRPs. If some or all are the same age, the HRP is the first of the FRPs from the order in which they were listed on the questionnaire.

    For families in which there is generational divide between family members that cannot be determined (Other related family), there is no FRP. Members of these families are treated the same as ungrouped individuals.

    If a household is made up entirely of any combination of ungrouped individuals and other related families, the HRP is chosen from among all people in the household, using the same criteria used to choose between FRPs. Students at their non term-time address cannot be the HRP.

    Details of classification can be found here

    The quality assurance report can be found here

  13. i

    Living Standards Measurement Study 1993 - Kyrgyz Republic

    • webapps.ilo.org
    Updated Apr 25, 2017
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    National Statistical Committee of the Kyrgyz Republic (2017). Living Standards Measurement Study 1993 - Kyrgyz Republic [Dataset]. https://webapps.ilo.org/surveyLib/index.php/catalog/1413
    Explore at:
    Dataset updated
    Apr 25, 2017
    Dataset authored and provided by
    National Statistical Committee of the Kyrgyz Republic
    Time period covered
    1993
    Area covered
    Kyrgyzstan
    Description

    Abstract

    The 1993 KMPS was carried out under the direction of researchers from the University of North Carolina at Chapel Hill, Paragon Research International, Inc., and the Institute of Sociology of the Russian Academy of Sciences.3 The government of the Kyrgyz Republic has recently established an open access policy in regards to the data collected in the KMPS (for details, see appendix A). The potential uses of this data set are quite broad given the multi-topic nature of the data and the fact that it was carried out at the national level.

    The purpose of this paper is to provide detailed documentation of the KMPS in order to:

    a) simplify its use for potential users thereby lowering start-up costs to analysts; b) ensure that the procedures used in the design, implementation and initial analysis of the survey are chronicled accurately.

    Such documentation will serve both to facilitate use of the data set and to prevent misuse of the data due to misunderstandings of the sample and/or field work procedures.

    Geographic coverage

    The whole country.

    Analysis unit

    • Individuals
    • Households
    • Municipals

    Universe

    In this study, "household" was defined as a group of people who live together in a given domicile, who keep house together, and share common income and expenditures. Judging from the 1989 census, there were about 856'000 families containing 4'258'000 individuals living in Kyrgyzstan at that time and an average of about five members per family. The questionnaires are address to:

    • Family in the households about their income and expenditures, and the health of all its members;
    • Adult of the household from14 years and older, preferably privately;
    • Children under the age of 14 years;
    • Community abouts basic information on community services, infrastructure and economic structure;

    Kind of data

    Sample survey data [ssd]

    Sampling procedure

    According to the 1989 Census, there were about 856,000 families and 4,258,000 individuals living in the Kyrgyz Republic at that time (an average of about five members per family). Though the definition of 'household' used in the KMPS differs from the Census definition of 'family', this figure provided an estimate of the number of households from which the sample was to be drawn. Note that the sampling methodology assumes that any growth in the number of households since 1989 was equally distributed across regions. The target household sample size was 2,000. To allow for an estimated non-response rate of about five percent, a sample of 2,100 households was drawn. The actual number of completed household interviews was 1,938, reflecting a non response rate of 7.7 per cent. The response rate for individuals is more difficult to calculate, since some household members (eg. students under 18 studying elsewhere) could not be interviewed.

    Sampling deviation

    The sample is designed to be fully representative of all households in the Kyrgyz Republic in the second half of 1993. Stratification was based on information on the population provided in the 1989 Census (since results from the 1994 microcensus were not available at the time of the survey). A stratified, multi-stage sampling procedure was used, with the number of stages dependent on whether households were being drawn from urban or rural areas.13 The following is a brief description of the sampling process (summarized in table below).

                              Stages of the sampling process
                                                Non self-representing strata
    

    Stage Self-representing strata Urban areas Rural areas 1st microcensus enumeration urban settlements rural settlements districts (cities) (villages) 2nd households microcensus household enumeration districts 3rd household

    Mode of data collection

    Face-to-face [f2f]

    Research instrument

    Explanation of the five questionnaires of this study:

    • The household questionnaire was administered to the person who best knew the business and concerns of the family, its income and expenditures, and the health of all its members. This respondent may not necessarily have been the head of the household, however the household questionnaire was not to be administered to a child.
    • The adult individual questionnaire was administered personally to every member of the household 14 years and older, preferably privately. Interviewers were not permitted to fill out an adult questionnaire based on answers provided by another member of the household.
    • The child individual questionnaire was completed for every member of the household under the age of 14 years. The questionnaire was administered to the adult member of the household who was responsible for caring for the child.
    • The "Survey of Availability and Prices of Food Products and Fue"l contains three sections of information relating to retail outlets7 selling food products in the 'local area'8 of the households participating in the survey.
    • Basic information on community services, infrastructure and economic structure were collected in this survey. A community, or 'immediate place of residence' is defined as the microcensus enumeration district in urban areas and the settlement (village) in rural areas. The survey includes preliminary identification data and details the raion, settlement identifier, microcensus enumeration district, date of survey and also the name of the person conducting the survey.

    Cleaning operations

    • The local supervisors were required to examine the questionnaires to locate problems which could be remedied in the field. Such problems included missing key demographic information and problem with household and individual identification numbers. All questionnaires were then sent to Bishkek, where they were again checked for identification number problems and then to Moscow, where yet another ID check was performed.

    • Open-ended questions (eg. occupation and nationality questions) were not immediately coded. Instead, the responses were entered into the data set in text, to be coded at a later date. Codes for all open-ended questions except occupation were made available in midFebruary. Occupation codes were made available in June 1994.

    • Data entry and verification of the household questionnaires was completed by a private data entry firm by January 25. All other data entry was handled in-house using the SPSS data program. The first entry of the 10,000 child and adult questionnaires began on December 20, 1993; the verification pass began on January 20 and was completed by February 2. Entry of the community and price surveys began in late January and was completed in two weeks.

    Response rate

    To allow for an estimated non-response rate of about five percent, a sample of 2,100 households was drawn. The actual number of completed household interviews was 1,938, reflecting a non response rate of 7.7 per cent. The response rate for individuals is more difficult to calculate, since some household members (eg. students under 18 studying elsewhere) could not be interviewed.

  14. F

    Real Median Personal Income in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 10, 2024
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    (2024). Real Median Personal Income in the United States [Dataset]. https://fred.stlouisfed.org/series/MEPAINUSA672N
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    jsonAvailable download formats
    Dataset updated
    Sep 10, 2024
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Real Median Personal Income in the United States (MEPAINUSA672N) from 1974 to 2023 about personal income, personal, median, income, real, and USA.

  15. Census 2021 Housing: Accommodation Type (TS044)

    • knaresborough-data-dashboard-colligolabs.hub.arcgis.com
    Updated Feb 28, 2023
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    Esri UK (2023). Census 2021 Housing: Accommodation Type (TS044) [Dataset]. https://knaresborough-data-dashboard-colligolabs.hub.arcgis.com/maps/7659d695b5cc438c81b913bc672ec1e0
    Explore at:
    Dataset updated
    Feb 28, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri UK
    Area covered
    Description

    Office for National Statistics' national and subnational Census 2021. Accommodation typeThis dataset provides Census 2021 estimates that classify households in England and Wales by accommodation type. The estimates are as at Census Day, 21 March 2021. Accommodation type definition: The type of building or structure used or available by an individual or householdThis could be:the whole house or bungalowa flat, maisonette or apartmenta temporary or mobile structure, such as a caravanMore information about accommodation types:Whole house or bungalow: This property type is not divided into flats or other living accommodation. There are three types of whole houses or bungalows.Detached: None of the living accommodation is attached to another property but can be attached to a garage.Semi-detached: The living accommodation is joined to another house or bungalow by a common wall that they share.Terraced: A mid-terraced house is located between two other houses and shares two common walls. An end-of-terrace house is part of a terraced development but only shares one common wall.Flats (Apartments) and maisonettes: An apartment is another word for a flat. A maisonette is a 2-storey flat.Quality information: We have made changes to housing definitions since the 2011 Census. Take care if you compare Census 2021 results for this topic with those from the 2011 Census.Comparability with 2011: Broadly comparable. We have added a category called 'part of another converted building (for example, former school, church or warehouse)'. This means that there are some changes to the way people who lived in flats answered the question when comparing this variable with the one in the 2011 Census. This data is issued at (BGC) Generalised (20m) boundary type for:Country - England and WalesRegion - EnglandUTLA - England and WalesLTLA - England and WalesWard - England and WalesMSOA - England and WalesLSOA - England and WalesOA - England and WalesIf you require the data at full resolution boundaries, or if you are interested in the range of statistical data that Esri UK make available in ArcGIS Online please enquire at content@esriuk.com.The data services available from this page are derived from the National Data Service. The NDS delivers thousands of open national statistical indicators for the UK as data-as-a-service. Data are sourced from major providers such as the Office for National Statistics, Public Health England and Police UK and made available for your area at standard geographies such as counties, districts and wards and census output areas. This premium service can be consumed as online web services or on-premise for use throughout the ArcGIS system.Read more about the NDS.

  16. UTLA

    • knaresborough-data-dashboard-colligolabs.hub.arcgis.com
    Updated Feb 27, 2023
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    Esri UK (2023). UTLA [Dataset]. https://knaresborough-data-dashboard-colligolabs.hub.arcgis.com/datasets/esriukcontent::utla-37
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    Dataset updated
    Feb 27, 2023
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri UK
    Area covered
    Description

    Office for National Statistics' national and subnational Census 2021. Occupancy rating for roomsThis dataset provides Census 2021 estimates that classify households in England and Wales by occupancy rating based on the number of rooms in the household. The estimates are as at Census Day, 21 March 2021. Occupancy rating for rooms definition: Whether a household's accommodation is overcrowded, ideally occupied or under-occupied. This is calculated by comparing the number of rooms the household requires to the number of available rooms.The number of rooms the household requires uses a formula which states that:one-person households require three rooms comprised of two common rooms and one bedroomtwo-or-more person households require a minimum of two common rooms and a bedroom for each person inline with the Bedroom StandardPeople who should have their own room according to the Bedroom Standard are:married or cohabiting couplesingle parentperson aged 16 years and overpair of same-sex persons aged 10 to 15 yearsperson aged 10 to 15 years paired with a person under 10 years of the same sexpair of children aged under 10 years, regardless of their sexperson aged under 16 years who cannot share a bedroom with someone in 4, 5 or 6 aboveAn occupancy rating of: -1 or less: implies that a household's accommodation has fewer rooms than required (overcrowded)+1 or more: implies that a household's accommodation has more rooms than required (under-occupied)0: suggests that a household's accommodation has an ideal number of roomsThe number of rooms is taken from Valuation Office Agency (VOA) administrative data for the first time in 2021. The number of rooms is recorded at the address level, whilst the 2011 Census recorded the number of rooms at the household level.This means that for households that live in a shared dwelling, the available number of rooms are counted for the whole dwelling in VOA, and not each individual household.VOA's definition of a room does not include bathrooms, toilets, halls or landings, kitchens, conservatories or utility rooms. All other rooms, for example, living rooms, studies, bedrooms, separate dining rooms and rooms that can only be used for storage are included. Please note that the 2011 Census question included kitchens, conservatories and utility rooms while excluding rooms that can only be used for storage. To adjust for the definitional difference, the number of rooms required is deducted from the actual number of rooms it has available, and then 1 is added.Quality information: It is inappropriate to measure change in number of rooms from 2011 to 2021, as Census 2021 used Valuation Office Agency data for this variable. Instead use Census 2021 estimates for number of bedrooms for comparisons over time.Comparability with 2011: Not comparable. This variable cannot be compared with the variable used in the 2011 Census. This is because in Census 2021 the data are collected using administrative data instead of data from Census 2021. This data is issued at (BGC) Generalised (20m) boundary type for:Country - England and WalesRegion - EnglandUTLA - England and WalesLTLA - England and WalesWard - England and WalesMSOA - England and WalesLSOA - England and WalesOA - England and WalesIf you require the data at full resolution boundaries, or if you are interested in the range of statistical data that Esri UK make available in ArcGIS Online please enquire at content@esriuk.com.The data services available from this page are derived from the National Data Service. The NDS delivers thousands of open national statistical indicators for the UK as data-as-a-service. Data are sourced from major providers such as the Office for National Statistics, Public Health England and Police UK and made available for your area at standard geographies such as counties, districts and wards and census output areas. This premium service can be consumed as online web services or on-premise for use throughout the ArcGIS system.Read more about the NDS.

  17. a

    Household Characteristics for the Population 15 Years and Over of Canada,...

    • hamiltondatacatalog-mcmaster.hub.arcgis.com
    Updated Feb 3, 2023
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    jadonvs_McMaster (2023). Household Characteristics for the Population 15 Years and Over of Canada, Hamilton Census Sub Division, Census 2021 [Dataset]. https://hamiltondatacatalog-mcmaster.hub.arcgis.com/maps/ac6f21a31e3b4e05bf90e4076ad23bcd
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    Dataset updated
    Feb 3, 2023
    Dataset authored and provided by
    jadonvs_McMaster
    Area covered
    Canada
    Description

    Data quality:Total non-response (TNR) rate, short-form census questionnaire: 2.5%Total non-response (TNR) rate, long-form census questionnaire: 3.5%Notes: 50: Tenure refers to whether the household owns or rents their private dwelling. The private dwelling may be situated on rented or leased land or be part of a condominium. A household is considered to own their dwelling if some member of the household owns the dwelling even if it is not fully paid for, for example if there is a mortgage or some other claim on it. A household is considered to rent their dwelling if no member of the household owns the dwelling. A household is considered to rent that dwelling even if the dwelling is provided without cash rent or at a reduced rent or if the dwelling is part of a cooperative. For historical and statutory reasons shelter occupancy on Indian reserves or settlements does not lend itself to the usual classification by standard tenure categories. Therefore a special category 'dwelling provided by the local government First Nation or Indian band ' has been created for census purposes. 51: Condominium status refers to whether the private dwelling is part of a condominium development. A condominium is a residential complex in which dwellings are owned individually while land and common elements are held in joint ownership with others.52: Bedrooms refers to rooms in a private dwelling that are designed mainly for sleeping purposes even if they are now used for other purposes such as guest rooms and television rooms. Also included are rooms used as bedrooms now even if they were not originally built as bedrooms such as bedrooms in a finished basement. Bedrooms exclude rooms designed for another use during the day such as dining rooms and living rooms even if they may be used for sleeping purposes at night. By definition one-room private dwellings such as bachelor or studio apartments have zero bedrooms. 53: Rooms refers to enclosed areas within a private dwelling which are finished and suitable for year round living. The number of rooms in a private dwelling includes kitchens bedrooms and finished rooms in the attic or basement. The number of rooms in a private dwelling excludes bathrooms halls vestibules and rooms used solely for business purposes. Partially divided rooms are considered to be separate rooms if they are considered as such by the respondent (e.g. L-shaped dining-room and living-room arrangements). 54: Number of persons per room - Refers to an indicator of the level of crowding in a private dwelling. It is calculated by dividing the number of persons in the household by the number of rooms in the dwelling. 55: Housing suitability refers to whether a private household is living in suitable accommodations according to the National Occupancy Standard (NOS); that is whether the dwelling has enough bedrooms for the size and composition of the household. A household is deemed to be living in suitable accommodations if its dwelling has enough bedrooms as calculated using the NOS. 'Housing suitability' assesses the required number of bedrooms for a household based on the age sex and relationships among household members. An alternative variable 'persons per room ' considers all rooms in a private dwelling and the number of household members. Housing suitability and the National Occupancy Standard (NOS) on which it is based were developed by Canada Mortgage and Housing Corporation (CMHC) through consultations with provincial housing agencies. 56: Period of construction refers to the period in time during which the building or dwelling was originally constructed. This refers to the period in which the building was completed not the time of any later remodeling additions or conversions. For properties having multiple residential structures this refers to the period in which the most recent structure was completed. 57: Includes data up to May 11 2021. 58: Dwelling condition refers to whether the dwelling is in need of repairs. This does not include desirable remodelling or additions. 59: Refers to whether or not a person residing in the household is responsible for paying the rent or the mortgage or the taxes or the electricity or other services or utilities. Where a number of people may contribute to the payments more than one person in the household may be identified as a household maintainer. If no person in the household is identified as making such payments the reference person is identified by default. 60: Primary household maintainer - The first person in the household identified as someone who pays the rent or the mortgage or the taxes or the electricity or other services or utilities for the dwelling. When more than one member of the household contributes to the payments the first person listed is chosen as the primary household maintainer. If no person in the household is identified as making any such payments the first person listed is selected by default. The order of the persons in a household is determined by the order in which they are listed on the questionnaire. Generally an adult is listed first followed if applicable by their spouse or common-law partner and then by their children. The order does not necessarily correspond to the proportion of household payments made by each person. 61: Shelter-cost-to-income ratio - Refers to the proportion of average total income of household which is spent on shelter costs. Shelter-cost-to-income ratio is calculated for private households who reported a total household income greater than zero. Private households located on an agricultural operation that is operated by a member of the household and households who reported a zero or negative total household income are excluded. The relatively high shelter-costs-to-household income ratios for some households may have resulted from the difference in the reference period for shelter costs and household total income data. The reference period for shelter cost data is 2021 while household total income is reported for the year 2020. As well for some households the 2020 household total income may represent income for only part of a year. For more information on household total income or shelter costs refer to the Census Dictionary: Total income and Shelter cost. 62: Acceptable housing refers to whether a household meets each of the three indicator thresholds established by the Canada Mortgage and Housing Corporation for housing adequacy, suitability and affordability. Housing indicator thresholds are defined as follows: *Adequate housing is reported by their residents as not requiring any major repairs. *Affordable housing has shelter costs equal to less than 30% of total before-tax household income. *Suitable housing has enough bedrooms for the size and composition of resident households according to the National Occupancy Standard (NOS) conceived by the Canada Mortgage and Housing Corporation and provincial and territorial representatives. Acceptable housing identifies which thresholds the household falls below if any. Housing that is adequate in condition suitable in size and affordable is considered to be acceptable. Households below and above the thresholds are based on the indicators for which individual households can be assessed. Farm and on-reserve households whose housing does not meet either or both of the suitability and adequacy thresholds are counted in the total of households below the thresholds. Farm and on-reserve households who live in housing that meets both the suitability and adequacy thresholds are counted in the total of households above the thresholds (even though it is not possible to assess housing affordability for these households). Farm households and on-reserve households cannot be assessed for housing affordability because the concept is not applicable. Housing affordability is assessed for owner and tenant households with household total income greater than zero in non-farm non-reserve private dwellings. 63: Core housing need refers to whether a private household's housing falls below at least one of the indicator thresholds for housing adequacy affordability or suitability and would have to spend 30% or more of its total before-tax income to pay the median rent of alternative local housing that is acceptable (attains all three housing indicator thresholds). Housing indicator thresholds are defined as follows: Adequate housing is reported by their residents as not requiring any major repairs. Affordable housing has shelter costs equal to less than 30% of total before-tax household income. Suitable housing has enough bedrooms for the size and composition of resident households according to the National Occupancy Standard (NOS) conceived by the Canada Mortgage and Housing Corporation and provincial and territorial representatives. Only private non-farm non-reserve and owner- or renter-households with incomes greater than zero and shelter-cost-to-income ratios less than 100% are assessed for 'core housing need.' Non-family households with at least one maintainer aged 15 to 29 attending school are considered not to be in 'core housing need' regardless of their housing circumstances. Attending school is considered a transitional phase and low incomes earned by student households are viewed as being a temporary condition. 64: Presence of mortgage payments refers to whether an owner household makes regular mortgage or loan payments for their dwelling. 65: Shelter cost refers to the average monthly total of all shelter expenses paid by households. Shelter costs for owner households include where applicable mortgage payments property taxes and condominium fees along with the costs of electricity heat water and other municipal services. For renter households shelter costs include where applicable the rent and the costs of electricity heat water and other municipal services. For households living in a dwelling provided by the local

  18. d

    National Incorporated Places and Counties

    • catalog.data.gov
    • s.cnmilf.com
    Updated Sep 8, 2023
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    data.iowa.gov (2023). National Incorporated Places and Counties [Dataset]. https://catalog.data.gov/dataset/national-incorporated-places-and-counties
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    Dataset updated
    Sep 8, 2023
    Dataset provided by
    data.iowa.gov
    Description

    This dataset contains a listing of incorporated places (cities and towns) and counties within the United States including the GNIS code, FIPS code, name, entity type and primary point (location) for the entity. The types of entities listed in this dataset are based on codes provided by the U.S. Census Bureau, and include the following: C1 - An active incorporated place that does not serve as a county subdivision equivalent; C2 - An active incorporated place legally coextensive with a county subdivision but treated as independent of any county subdivision; C3 - A consolidated city; C4 - An active incorporated place with an alternate official common name; C5 - An active incorporated place that is independent of any county subdivision and serves as a county subdivision equivalent; C6 - An active incorporated place that partially is independent of any county subdivision and serves as a county subdivision equivalent or partially coextensive with a county subdivision but treated as independent of any county subdivision; C7 - An incorporated place that is independent of any county; C8 - The balance of a consolidated city excluding the separately incorporated place(s) within that consolidated government; C9 - An inactive or nonfunctioning incorporated place; H1 - An active county or statistically equivalent entity; H4 - A legally defined inactive or nonfunctioning county or statistically equivalent entity; H5 - A census areas in Alaska, a statistical county equivalent entity; and H6 - A county or statistically equivalent entity that is areally coextensive or governmentally consolidated with an incorporated place, part of an incorporated place, or a consolidated city.

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Statistics Canada (2023). 2001 Census of Population [Canada] Public Use Microdata File (PUMF): Families File [Dataset]. http://doi.org/10.5683/SP3/TZVB8K

2001 Census of Population [Canada] Public Use Microdata File (PUMF): Families File

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Dataset updated
Dec 28, 2023
Dataset provided by
Borealis
Authors
Statistics Canada
Description

The 2001 Census Public Use Microdata File (PUMF) on Families contains data based on a 2.7% sample of the population enumerated in the census. It provides information on the demographic, social and economic characteristics of the census families and non-family persons. This microdata file allows users to group and manipulate the data to suit their own requirements. The documentation (metadata) provided in the PUMF on families is divided into four chapters: Chapter I contains the record layout, an essential tool for using the file; Chapter II describes the variables included in the file; Chapters III and IV deal with the sampling method and data quality. There are two other public use microdata files: one on individuals and another on households and housing. For the 2001 Census, several changes were made to the census family concept: Two persons living in a same-sex common-law relationship, along with any of their children residing in the household, will be considered a census family. Children in a census family can have been previously married (as long as they are not currently living with a spouse or common-law partner). Previously, they had to be "never-married". A grandchild living in a three-generation household where the parent (middle generation) is never-married will, contrary to previous censuses, now be considered as a child in the census family of his or her parent, provided the grandchild is not living with his or her own spouse, common-law partner, or child. Traditionally, the census family usually consisted of the two older generations. A grandchild of another household member, where a middle-generation parent is not present, will now be considered as a child in the census family of his or her grandparent, provided the grandchild is not living with his or her own spouse, common-law partner, or child. Traditionally, such a grandchild would not be considered as the member of a census family. For same-sex common-law couples, the records were handled as follows: regardless of the sex of each partner, the census family reference person was designated as the male common-law partner, and his or her partner was designated as the female common-law partner. The question on religion, which is asked every 10 years, was re-introduced in 2001. In 2001, two new questions were added: one on the birthplace of parents and the other on the language of work. A second part was also added to the question on home language. In view of the legal recognition of same-sex couples, the census definition of a common-law couple was changed to "two people of the opposite sex or of the same sex who live together as a couple but who are not legally married to each other". The question on fertility was not asked in the 2001 census.

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