Graph and download economic data for Consumer Unit Characteristics: Age of Reference Person by Region: Residence in the South Census Region (CXU980020LB1104M) from 1984 to 2023 about South Census Region, consumer unit, age, residents, personal, and USA.

Master Area Reference Files (MARFs) link geographic areas with their respective numeric codes. This data collection is a five-digit ZIP-code equivalency file created for the 1980 Census of Population and Housing. The data contain geographic items from Summary Tape Files 1A and 3A, as well as total population and housing unit counts. This equivalency file was created to allow users to prepare additional data summaries relevant to ZIP-code areas. The file enables users to equate detailed record files having ZIP codes with census geographic units. This national file is hierarchically sequenced by geographic area.

Annual Resident Population Estimates, Estimated Components of Resident Population Change, and Rates of the Components of Resident Population Change; for the United States, States, Metropolitan Statistical Areas, Micropolitan Statistical Areas, Counties, and Puerto Rico: April 1, 2010 to July 1, 2019 // Source: U.S. Census Bureau, Population Division // The contents of this file are released on a rolling basis from December through March. // Note: Total population change includes a residual. This residual represents the change in population that cannot be attributed to any specific demographic component. // Note: The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // The Office of Management and Budget's statistical area delineations for metropolitan, micropolitan, and combined statistical areas, as well as metropolitan divisions, are those issued by that agency in September 2018. // Current data on births, deaths, and migration are used to calculate population change since the 2010 Census. An annual time series of estimates is produced, beginning with the census and extending to the vintage year. The vintage year (e.g., Vintage 2019) refers to the final year of the time series. The reference date for all estimates is July 1, unless otherwise specified. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html.

Context

The Monthly State Retail Sales (MSRS) is the Census Bureau's new experimental data product featuring modeled state-level retail sales. This is a blended data product using Monthly Retail Trade Survey data, administrative data, and third-party data. Year-over-year percentage changes are available for Total Retail Sales excluding Non-store Retailers as well as 11 retail North American Industry Classification System (NAICS) retail subsectors. These data are provided by state and NAICS codes beginning with January 2019.

Content

Geography: US

Time period: 2019 - 2022

Unit of analysis: US Census Bureau's Monthly State Retail Sales Data

Variables

Acknowledgements

Datasource: United States Census Bureau's Monthly State Retail Sales

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Graph and download economic data for Consumer Unit Characteristics: Age of Reference Person by Region: Residence in the West Census Region (CXU980020LB1105M) from 1984 to 2023 about West Census Region, consumer unit, age, residents, personal, and USA.

Key Table Information.Table Title.Annual Business Survey: Statistics for Employer Firms by Race for the U.S.: 2023.Table ID.ABSCS2023.AB00MYCSA01C.Survey/Program.Economic Surveys.Year.2023.Dataset.ECNSVY Annual Business Survey Company Summary.Source.U.S. Census Bureau, 2023 Economic Surveys, Annual Business Survey.Release Date.2025-11-20.Release Schedule.The Annual Business Survey (ABS) occurs every year, beginning in reference year 2017.For more information about ABS planned data product releases, see Tentative ABS Schedule..Dataset Universe.The dataset universe consists of employer firms that are in operation for at least some part of the reference year, are located in one of the 50 U.S. states, associated offshore areas, or the District of Columbia, have paid employees and annual receipts of $1,000 or more, and are classified in one of nineteen in-scope sectors defined by the 2022 North American Industry Classification System (NAICS), except for NAICS 111, 112, 482, 491, 521, 525, 813, 814, and 92 which are not covered..Sponsor.National Center for Science and Engineering Statistics, U.S. National Science Foundation.Methodology.Data Items and Other Identifying Records.Number of employer firms (firms with paid employees)Sales and receipts of employer firms (reported in $1,000s of dollars)Number of employees (during the March 12 pay period)Annual payroll (reported in $1,000s of dollars)These data are aggregated by the following demographic classifications of firm for:All firms Classifiable (firms classifiable by sex, ethnicity, race, and veteran status) Race White Black or African American American Indian and Alaska Native Asian Native Hawaiian and Other Pacific Islander Minority (Firms classified as any race and ethnicity combination other than non-Hispanic and White) Equally minority/nonminority Nonminority (Firms classified as non-Hispanic and White) Unclassifiable (firms not classifiable by sex, ethnicity, race, and veteran status) Definitions can be found by clicking on the column header in the table or by accessing the Economic Census Glossary..Unit(s) of Observation.The reporting units for the ABS are employer companies or firms rather than establishments. A company or firm is comprised of one or more in-scope establishments that operate under the ownership or control of a single organization..Geography Coverage.The data are shown for the U.S. only.For information about geographies, see Geographies..Industry Coverage.The data are shown for the total of all sectors ("00") NAICS code. Sector "00" is not an official NAICS sector but is rather a way to indicate a total for multiple sectors. Note: Other programs outside of ABS may use sector 00 to indicate when multiple NAICS sectors are being displayed within the same table and/or dataset.The following are excluded from the total of all sectors:Crop and Animal Production (NAICS 111 and 112)Rail Transportation (NAICS 482)Postal Service (NAICS 491)Monetary Authorities-Central Bank (NAICS 521)Funds, Trusts, and Other Financial Vehicles (NAICS 525)Office of Notaries (NAICS 541120)Religious, Grantmaking, Civic, Professional, and Similar Organizations (NAICS 813)Private Households (NAICS 814)Public Administration (NAICS 92)For information about NAICS, see North American Industry Classification System..Sampling.The ABS sample includes firms that are selected with certainty if they have known research and development activities, were included in the 2023 BERD sample, or have high receipts, payroll, or employment. Total sample size is 330,000 firms. The universe is stratified by state, industry group, and expected demographic group. Firms selected to the sample receive a questionnaire. For all data on this table, firms not selected into the sample are represented with administrative, 2022 Economic Census, or other economic surveys records.For more information about the sample design, see Annual Business Survey Methodology..Confidentiality.The Census Bureau has reviewed this data product to ensure appropriate access, use, and disclosure avoidance protection of the confidential source data (Project No. P-7504866, Disclosure Review Board (DRB) approval numbers: CBDRB-FY25-0115 and CBDRB-FY25-0410).To protect confidentiality, the U.S. Census Bureau suppresses cell values to minimize the risk of identifying a particular business' data or identity.To comply with data quality standards, data rows with high relative standard errors (RSE) are not presented. Additionally, firm counts are suppressed when other select statistics in the same row are suppressed. More information on disclosure avoidance is available in the Annual Business Survey Methodology..Technical Documentation/Methodology.For detailed information about the methods used to collect data and produce statistics, survey questionnaires, Primary Business Activity/NAICS codes, and more, see Technical Documentation..Weights.For more information about weighting, see Annual Business Survey Methodology..Table Inf...

This dataset presents a range of data items sourced from a wide variety of collections, both Australian Bureau of Statistics (ABS) and non-ABS. The data is derived from the November 2024 release of Data by region. Individual data items present the latest reference year data available on Data by region. This layer presents data by Statistical Areas Level 2 (SA2), 2021.

The Persons born overseas theme is based on groupings of data within Data by region. Concepts, sources and methods for each dataset can be found on the Data by region methodology page.

The Persons born overseas theme includes:

Population (Census) Age (Census) Year of arrival (Census) Citizenship status (Census) Religious affiliation (Census) English proficiency (Census) Occupation (Census) Highest educational attainment (Census) Labour force status (Census) Total personal income (Census)

When analysing these statistics:

Time periods, definitions, methodologies, scope, and coverage can differ across collections.
Some data values have been randomly adjusted or suppressed to avoid the release of confidential data, this means

    some small cells have been randomly set to zero
    care should be taken when interpreting cells with small numbers or zeros.

Data and geography references

Source data publication: Data by region Geographic boundary information: Australian Statistical Geography Standard (ASGS) Edition 3 Further information: Data by region methodology, reference period 2011-24 Source: Australian Bureau of Statistics (ABS)

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This file is an extract of Summary Tape File 1A from the 1980 Census. It contains numeric codes and names of geographic areas plus selected complete-count population, provisional population counts by race and Hispanic origin, the number of families, and the number of persons in group quarters. Also included are the number of one-person households, the total number of housing units, the number of occupied housing units, and the number of owner-occupied housing units. There are 51 files, one for each state and the District of Columbia. The format for each of the files is identical. The number of records varies by state.

Summary File 4 is repeated or iterated for the total population and 335 additional population groups: 132 race groups,78 American Indian and Alaska Native tribe categories, 39 Hispanic or Latino groups, and 86 ancestry groups.Tables for any population group excluded from SF 2 because the group's total population in a specific geographic area did not meet the SF 2 threshold of 100 people are excluded from SF 4. Tables in SF 4 shown for any of the above population groups will only be shown if there are at least 50 unweighted sample cases in a specific geographic area. The same 50 unweighted sample cases also applied to ancestry iterations. In an iterated file such as SF 4, the universes households, families, and occupied housing units are classified by the race or ethnic group of the householder. The universe subfamilies is classified by the race or ethnic group of the reference person for the subfamily. In a husband/wife subfamily, the reference person is the husband; in a parent/child subfamily, the reference person is always the parent. The universes population in households, population in families, and population in subfamilies are classified by the race or ethnic group of the inidviduals within the household, family, or subfamily without regard to the race or ethnicity of the householder. Notes follow selected tables to make the classification of the universe clear. In any population table where there is no note, the universe classification is always based on the race or ethnicity of the person. In all housing tables, the universe classification is based on the race or ethnicity of the householder.

Monthly Population Estimates by Universe, Age, Sex, Race, and Hispanic Origin for the United States: April 1, 2010 to December 1, 2020 // Source: U.S. Census Bureau, Population Division // Note: 'In combination' means in combination with one or more other races. The sum of the five race-in-combination groups adds to more than the total population because individuals may report more than one race. Hispanic origin is considered an ethnicity, not a race. Hispanics may be of any race. Responses of 'Some Other Race' from the 2010 Census are modified. This results in differences between the population for specific race categories shown for the 2010 Census population in this file versus those in the original 2010 Census data. // The estimates are based on the 2010 Census and reflect changes to the April 1, 2010 population due to the Count Question Resolution program and geographic program revisions. // Persons on active duty in the Armed Forces were not enumerated in the 2010 Census. Therefore, variables for the 2010 Census civilian, civilian noninstitutionalized, and resident population plus Armed Forces overseas populations cannot be derived and are not available on this file. // Current data on births, deaths, and migration are used to calculate population change since the 2010 Census. A time series of estimates is produced, beginning with the census. The reference date for all estimates is the first of the month. With each new issue of estimates, the entire estimates series is revised. Additional information, including historical and intercensal estimates, evaluation estimates, demographic analysis, research papers, and methodology is available on website: https://www.census.gov/programs-surveys/popest.html.

Abstract

The Integrated Public Use Microdata Series (IPUMS) Complete Count Data include more than 650 million individual-level and 7.5 million household-level records. The microdata are the result of collaboration between IPUMS and the nation’s two largest genealogical organizations—Ancestry.com and FamilySearch—and provides the largest and richest source of individual level and household data.

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Documentation

Historic data are scarce and often only exists in aggregate tables. The key advantage of historic US census data is the availability of individual and household level characteristics that researchers can tabulate in ways that benefits their specific research questions. The data contain demographic variables, economic variables, migration variables and family variables. Within households, it is possible to create relational data as all relations between household members are known. For example, having data on the mother and her children in a household enables researchers to calculate the mother’s age at birth. Another advantage of the Complete Count data is the possibility to follow individuals over time using a historical identifier.

In sum: the historic US census data are a unique source for research on social and economic change and can provide population health researchers with information about social and economic determinants.

The historic US 1920 census data was collected in January 1920. Enumerators collected data traveling to households and counting the residents who regularly slept at the household. Individuals lacking permanent housing were counted as residents of the place where they were when the data was collected. Household members absent on the day of data collected were either listed to the household with the help of other household members or were scheduled for the last census subdivision.

Notes

• We provide household and person data separately so that it is convenient to explore the descriptive statistics on each level. In order to obtain a full dataset, merge the household and person on the variables SERIAL and SERIALP. In order to create a longitudinal dataset, merge datasets on the variable HISTID.

• Households with more than 60 people in the original data were broken up for processing purposes. Every person in the large households are considered to be in their own household. The original large households can be identified using the variable SPLIT, reconstructed using the variable SPLITHID, and the original count is found in the variable SPLITNUM.

• Coded variables derived from string variables are still in progress. These variables include: occupation and industry.

• Missing observations have been allocated and some inconsistencies have been edited for the following variables: SPEAKENG, YRIMMIG, CITIZEN, AGE, BPL, MBPL, FBPL, LIT, SCHOOL, OWNERSHP, MORTGAGE, FARM, CLASSWKR, OCC1950, IND1950, MARST, RACE, SEX, RELATE, MTONGUE. The flag variables indicating an allocated observation for the associated variables can be included in your extract by clicking the ‘Select data quality flags’ box on the extract summary page.

• Most inconsistent information was not edited for this release, thus there are observations outside of the universe for some variables. In particular, the variables GQ, and GQTYPE have known inconsistencies and will be improved with the next release.

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Section 2

This dataset was created on 2020-01-10 18:46:34.647 by merging multiple datasets together. The source datasets for this version were:

IPUMS 1920 households: This dataset includes all households from the 1920 US census.

IPUMS 1920 persons: This dataset includes all individuals from the 1920 US census.

IPUMS 1920 Lookup: This dataset includes variable names, variable labels, variable values, and corresponding variable value labels for the IPUMS 1920 datasets.

5-year estimates from the American Community Survey

MARF is the 1980 Census counterpart of the Master Enumeration District List (MEDList) prepared for the 1970 census. It links state or state equivalent, county or county equivalent, minor civil division (MCD)/census county division (CCD), and place names with their respective geographic codes. It is also an abbreviated summary file containing selected population and housing unit counts. MARF 2 has the same geographic coverage as the first MARF and includes the following additional information: FIPS place codes, latitude and longitude coordinates for geographic areas down to the BG/ED level, land area in square miles for geographic areas down to the level of places or minor civil divisions (for 11 selected states) with a population of 2,500 or more, total population and housing count estimates based on sample returns, and per capital income for all geographic areas included in the file. There are 51 files, one for each state and the District of Columbia.

Data on place of work status by industry sectors (2-digit code) from the North American Industry Classification System (NAICS) 2017, work activity during the reference year, age and gender for census metropolitan areas, tracted census agglomerations and census tracts.

Public Law (P.L.) 94-171, enacted in 1975, directs the U.S. Census Bureau to make special preparations to provide redistricting data needed by the 50 states. It specifies that within a year following Census Day (by April 1, 2011), the Census Bureau must send the governor and legislature in each state the data they need to redraw districts for the United States Congress and state legislature. The Census 2010 Redistricting Data Program was set up to afford state officials an opportunity to define the small areas for which they wish to receive census population totals for redistricting purposes. Officials then could receive data for voting districts (e.g., election precincts, wards, state house and senate districts) in addition to standard census geographic areas, such as counties, cities, census tracts, and blocks. State participation in defining areas is voluntary and nonpartisan. There are four map types that support the 2010 Census Redistricting Data (Public Law [P.L.] 94-171) program. Each of these large format map types is produced in Adobeâ s portable document format (PDF). These georeferenced PDF files were created in compliance with the OGC PDF Geo-registration Encoding Best Practice Version 2.2 (OGC project document reference number OGC 08-139r2). They will also be available through the U.S. Census Bureau Map Products web site. In addition to the maps, other geographic products include the State Redistricting Data (P.L.94-171) Shapefiles and the 2010 Census Block Assignment Files, which provide census block relationships to voting districts, state legislative districts, school districts, and congressional districts. All four map types are produced in a set for each county or statistically equivalent entity (school district maps for the District of Columbia, Florida, Hawaii, Maryland, Nevada, and West Virginia are state-based). Each map set consists of one or more numbered parent sheets which cover the entire county. If necessary, separate inset sheets show areas of dense features at a larger scale. Inset areas are identified with letters. If the set has more than one parent sheet, an index sheet is also included which depicts the arrangement of the parent sheets and inset areas in relation to the county boundary and selected major features. All of the parent sheets within a county are produced at the same scale, while maps for adjacent counties may be at different scales. The objective of each map type is to use the smallest number of sheets while preserving legibility of geographic entity names and feature identifiers. The physical size of the county and the density of features also affect the number of parent sheets and insets.

2019 US Census All Counties and County Equivalents geospatial data

U.S. Census Bureau; TIGER/Line Shapefiles 2019 Data accessed from: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.2019.html

TIGER/Line Shapefiles do not include demographic data, but they do contain geographic entity codes (GEOIDs) that can be linked to the Census Bureau’s demographic data.

The Geographic Areas Reference Manual (GARM) describes in great detail the basic geographic entities the Census Bureau uses (https://www.census.gov/programs-surveys/acs/geography-acs.html).

TIGER Data Products Guide (https://www.census.gov/programs-surveys/geography/guidance/tiger-data-products-guide.html)

The geographic cross-reference files have been created to allow the user to prepare additional data summaries relevant to school districts. Another use for the geographic cross-reference files is to provide the ability to equate detailed record files having school district codes with census geographic units. This capability could be used to relate administrative record summaries with census geographic data. This data collection is a school district georeference file collected during 1969-1970 that has been instrumental in aggregating First Count Summary Data by school district and can be used in interpreting the School District First Count file. This file does not contain data for the State of Maryland. Variables include state, county, minor civil division (MCD), MCD-place, census tract, block group, enumeration district (ED), population of block group, school district code, school district type, percentage of population in school district, place description, congressional district, school district name, grade range, standard metropolitan statistical area (SMSA), and government ID code.

Abstract

The National Census of Manufacturing Establishments (NCME) is a regular periodic statistical operation to collect, manage and disseminate data on the manufacturing sector of Nepal. The NCME has been carried out by Central Bureau of Statistics (CBS) in every five years. CBS is the main responsible organization of the government for collection, management and dissemination of statistical information in the country. Particularly, the NCME is carried out by the establishment census and survey section of CBS. The census covers all manufacturing establishments located within the geographic boundary of Nepal engaging 10 or more persons.

Following the international practices, the establishments enumerated are classified according to the Nepal Standard Industrial Classification (NSIC). The reference period of the census was the fiscal year 2068/2069 B.S.(2011/2012). Particularly, it is mid July 2011 to mid July 2012. The actual enumeration work of the census was carried out during the period from January 2013 to July 2013.

Geographic coverage

National, Rural,Urban, District.

Analysis unit

Manufacturing establishments engaging 10 or more persons

Universe

The census covers all operated manufacturing establishments (categorized as Manufacturing sector in ISIC Rev. 4) having 10 or more persons engaged during the reference period (ie mid July 2011 to mid July 2012).

Kind of data

Census/enumeration data [cen]

Sampling procedure

It is complete enumeration of Manufacturing Establishments categorized as Manufacturing Sector of ISIC Revision 4, having 10 or more persons engaged during the reference period (ie mid July 2011 to mid July 2012).

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire for the CME is a structured questionnaire based on the International recommendation and guidelines for industrial statisics prepared by UNIDO. It contains 17 sections as stated below:

1. Introduction of manufacturing establishment
2. Legal status
3. Type of ownership
4. Major manufacturing activities and products
5. Employment particulars
6. Purchase of fuel, water and electricity
7. Receipts from sale and cost of industrial services
8. Cost of raw materials purchased
9. Details of production and sale of goods
10. Value of stock (inventories)
11. Cost of non-industrial service purchased
12. Tax
13. Receipts from non-industrial service
14. Details of fixed assets
15. Capacity utilization
16. Investment and cost of environment protection
17. Problems faced by manufacturing establishments

Cleaning operations

A Control form was introduced to find out the profit or loss and value added of each establishment. This form was filled by the supervisor of the Statistical Office (SO) immediately after completing the interview of the establishment. If any inconsistencies were found during this phase, enumerators have to re-visit the establishment for verification.

Coding was done in ECSS of CBS. NSIC and CPC coding schemes were used. Altogether, 2 Statistical officer, 1 Computer Officer and 2 Statistical Assistants were involved in the coding and checking of the price of each fuel, raw material and product under the direct supervision of Director of the Establishment Census and Suvey Section.

During Data entry, many range checks were introduced to minimize range errors. Some cross checks were used to control errors relating to the universe and pre-question of the entry variable during data entry. One big batch edit file with many edit commands were run and verify the observed missing or overvalued or undervalued data mostly by contacting the respondent of the establishment by telephone.

After entering and editing data in CSPro data entry application, frequencies and percentage distribution of the principal indicators like total number of establishment, total number of persons engaged, total number of employees, value of input, value of output, value added by NSIC, ecological belts, development regions, districts were tabulated and compared with that of previous census. Further,average output, value added, number of persons engaged, number of employees and fixed asset per establishment a was calculated to discuss final report of the census in the technical committee. The final results were published after the approval the committee.

Data appraisal

CME 2011-12 data appraisal may be categorized by 3 stages: Listing, data collection, data entry and processing. A technical committee headed by the Director General of CBS was formed to supervise, suggest, control and review the overall process of the census from questionnaire design to data dissemination.

A control form was used to verify establishment lebel input-output ratio as well as profit or loss status of the establishment at data collection stage. The data collection work was done only by the staff of CBS and its field offices. They were trained by the census officials of CBS worked in the head office. Statistical officers of branch offices were considered as supervisor of the census.

To establish consistency between the CPC of data recorded in section 7, 8 of the questionnaire and NSIC of section 3, grouping of raw materials and products was made by CPC to make one to one correspondence with NSIC.

A census tract is a geographic area defined by the U.S. Census Bureau for the purpose of collecting and analyzing demographic data. Typically, a census tract contains a population of about 1,200 to 8,000 people and is designed to reflect homogenous social and economic characteristics. Tracts are used in various statistical analyses and are updated every ten years with the decennial census, allowing for a detailed understanding of population trends, housing, and economic conditions within specific communities. These files do not include demographic data, but they contain geographic entity codes that can be linked to the Census Bureau’s demographic data, available on https://data.census.gov. Terms of Use This product is for informational purposes and may not have been prepared for or be suitable for legal, engineering, or surveying purposes. It does not represent an on-the-ground survey and represents only the approximate relative location of property boundaries. This product has been produced by the US Census for the sole purpose of geographic reference. No warranty is made by the City of Austin regarding specific accuracy or completeness.

This dataset provides Census 2022 estimates for Economic activity of Household Reference Person in Scotland.

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