The Bureau of Justice Statistics' (BJS) 2007 Census of Public Defender Offices (CPDO) collected data from public defender offices located across 49 states and the District of Columbia. Public defender offices are one of three methods through which states and localities ensure that indigent defendants are granted the Sixth and Fourteenth Amendment right to counsel. (In addition to defender offices, indigent defense services may also be provided by court-assigned private counsel or by a contract system in which private attorneys contractually agree to take on a specified number of indigent defendants or indigent defense cases.) Public defender offices have a salaried staff of full- or part-time attorneys who represent indigent defendants and are employed as direct government employees or through a public, nonprofit organization. Public defenders play an important role in the United States criminal justice system. Data from prior BJS surveys on indigent defense representation indicate that most criminal defendants rely on some form of publicly provided defense counsel, primarily public defenders. Although the United States Supreme Court has mandated that the states provide counsel for indigent persons accused of crime, documentation on the nature and provision of these services has not been readily available. States have devised various systems, rules of organization, and funding mechanisms for indigent defense programs. While the operation and funding of public defender offices varies across states, public defender offices can be generally classified as being part of either a state program or a county-based system. The 22 state public defender programs functioned entirely under the direction of a central administrative office that funded and administered all the public defender offices in the state. For the 28 states with county-based offices, indigent defense services were administered at the county or local jurisdictional level and funded principally by the county or through a combination of county and state funds. The CPDO collected data from both state- and county-based offices. All public defender offices that were principally funded by state or local governments and provided general criminal defense services, conflict services, or capital case representation were within the scope of the study. Federal public defender offices and offices that provided primarily contract or assigned counsel services with private attorneys were excluded from the data collection. In addition, public defender offices that were principally funded by a tribal government, or provided primarily appellate or juvenile services were outside the scope of the project and were also excluded. The CPDO gathered information on public defender office staffing, expenditures, attorney training, standards and guidelines, and caseloads, including the number and type of cases received by the offices. The data collected by the CPDO can be compared to and analyzed against many of the existing national standards for the provision of indigent defense services.

Addressed Locations within the State of Colorado provided by county and regional governments. This service reflects an evolving data model of the Colorado State Address Dataset (CSAD). It contains address information submitted by local government agencies and will be more regularly updated through automated routines. This service also locates addresses that are not matched to address point locations provided by local governments by interpolation to address-ranged street centerlines published by the US Census in 2016. This cascading composite location service first tries to match subaddress to subaddress (123 Main Apt D ...), if that doesn't work match subaddress to parent address (123 Main ...) from address location data provided by local governments in Colorado. If that the address does not match the address on record for these locations then this service will attempt to match the address to the US Census Address-Ranged Road Centerlines.

The 2007 Census of State Court Prosecutors marked the second BJS survey of all prosecutors' offices in the United States. The first census, conducted in 2001, included the 2,341 offices in operation at that time. The second census included the 2,330 state court prosecutors' offices operating in 2007. Neither census included offices of municipal attorneys or county attorneys, who primarily operate in courts of limited jurisdiction. State court prosecutors serve in the executive branch of state governments and handle felony cases in state courts of general jurisdiction. By law, these prosecutors are afforded broad discretion in determining who is charged with an offense and whether a case goes to trial. The chief prosecutor, also referred to as the district attorney, county attorney, commonwealth attorney, or state's attorney, represents the state in criminal cases and is answerable to the public as an elected or appointed public official. The Office of the United States Attorney for the District of Columbia is the only federal prosecutor included in the census. This unique office is responsible for prosecution of serious local crimes committed in the District and also for prosecution of federal cases, whether criminal or civil.

Abstract

Dataset quality **: Medium/high quality dataset, not quality checked or modified by the EIDC team

Census data plays a pivotal role in academic data research, particularly when exploring relationships between different demographic characteristics. The significance of this particular dataset lies in its ability to facilitate the merging of various datasets with basic census information, thereby streamlining the research process and eliminating the need for separate API calls.

The American Community Survey is an ongoing survey conducted by the U.S. Census Bureau, which provides detailed social, economic, and demographic data about the United States population. The ACS collects data continuously throughout the decade, gathering information from a sample of households across the country, covering a wide range of topics

Methodology

The Census Data Application Programming Interface (API) is an API that gives the public access to raw statistical data from various Census Bureau data programs.

We used this API to collect various demographic and socioeconomic variables from both the ACS and the Deccenial survey on different geographical levels:

ZCTAs:

ZIP Code Tabulation Areas (ZCTAs) are generalized areal representations of United States Postal Service (USPS) ZIP Code service areas. The USPS ZIP Codes identify the individual post office or metropolitan area delivery station associated with mailing addresses. USPS ZIP Codes are not areal features but a collection of mail delivery routes.

Census Tract:

Census Tracts are small, relatively permanent statistical subdivisions of a county or statistically equivalent entity that can be updated by local participants prior to each decennial census as part of the Census Bureau’s Participant Statistical Areas Program (PSAP).

Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. A census tract usually covers a contiguous area; however, the spatial size of census tracts varies widely depending on the density of settlement. Census tract boundaries are delineated with the intention of being maintained over a long time so that statistical comparisons can be made from census to census.

Block Groups:

Block groups (BGs) are the next level above census blocks in the geographic hierarchy (see Figure 2-1 in Chapter 2). A BG is a combination of census blocks that is a subdivision of a census tract or block numbering area (BNA). (A county or its statistically equivalent entity contains either census tracts or BNAs; it can not contain both.) A BG consists of all census blocks whose numbers begin with the same digit in a given census tract or BNA; for example, BG 3 includes all census blocks numbered in the 300s. The BG is the smallest geographic entity for which the decennial census tabulates and publishes sample data.

Census Blocks:

Census blocks, the smallest geographic area for which the Bureau of the Census collects and tabulates decennial census data, are formed by streets, roads, railroads, streams and other bodies of water, other visible physical and cultural features, and the legal boundaries shown on Census Bureau maps.

Abstract

The 2000 Republic of Palau Census of Population and Housing was the second census collected and processed entirely by the republic itself. This monograph provides analyses of data from the most recent census of Palau for decision makers in the United States and Palau to understand current socioeconomic conditions. The 2005 Census of Population and Housing collected a wide range of information on the characteristics of the population including demographics, educational attainments, employment status, fertility, housing characteristics, housing characteristics and many others.

Geographic coverage

National

Analysis unit

• Household;
• Individual.

Universe

The 1990, 1995 and 2000 censuses were all modified de jure censuses, counting people and recording selected characteristics of each individual according to his or her usual place of residence as of census day. Data were collected for each enumeration district - the households and population in each enumerator assignment - and these enumeration districts were then collected into hamlets in Koror, and the 16 States of Palau.

Kind of data

Census/enumeration data [cen]

Sampling procedure

No sampling - whole universe covered

Mode of data collection

Face-to-face [f2f]

Research instrument

The 2000 censuses of Palau employed a modified list-enumerate procedure, also known as door-to-door enumeration. Beginning in mid-April 2000, enumerators began visiting each housing unit and conducted personal interviews, recording the information collected on the single questionnaire that contained all census questions. Follow-up enumerators visited all addresses for which questionnaires were missing to obtain the information required for the census.

Cleaning operations

The completed questionnaires were checked for completeness and consistency of responses, and then brought to OPS for processing. After checking in the questionnaires, OPS staff coded write-in responses (e.g., ethnicity or race, relationship, language). Then data entry clerks keyed all the questionnaire responses. The OPS brought the keyed data to the U.S. Census Bureau headquarters near Washington, DC, where OPS and Bureau staff edited the data using the Consistency and Correction (CONCOR) software package prior to generating tabulations using the Census Tabulation System (CENTS) package. Both packages were developed at the Census Bureau's International Programs Center (IPC) as part of the Integrated Microcomputer Processing System (IMPS).

The goal of census data processing is to produce a set of data that described the population as clearly and accurately as possible. To meet this objective, crew leaders reviewed and edited questionnaires during field data collection to ensure consistency, completeness, and acceptability. Census clerks also reviewed questionnaires for omissions, certain inconsistencies, and population coverage. Census personnel conducted a telephone or personal visit follow-up to obtain missing information. The follow-ups considered potential coverage errors as well as questionnaires with omissions or inconsistencies beyond the completeness and quality tolerances specified in the review procedures.

Following field operations, census staff assigned remaining incomplete information and corrected inconsistent information on the questionnaires using imputation procedures during the final automated edit of the data. The use of allocations, or computer assignments of acceptable data, occurred most often when an entry for a given item was lacking or when the information reported for a person or housing unit on an item was inconsistent with other information for that same person or housing unit. In all of Palau’s censuses, the general procedure for changing unacceptable entries was to assign an entry for a person or housing unit that was consistent with entries for persons or housing units with similar characteristics. The assignment of acceptable data in place of blanks or unacceptable entries enhanced the usefulness of the data.

Sampling error estimates

Human and machine-related errors occur in any large-scale statistical operation. Researchers generally refer to these problems as non-sampling errors. These errors include the failure to enumerate every household or every person in a population, failure to obtain all required information from residents, collection of incorrect or inconsistent information, and incorrect recording of information. In addition, errors can occur during the field review of the enumerators' work, during clerical handling of the census questionnaires, or during the electronic processing of the questionnaires. To reduce various types of non-sampling errors, Census office personnel used several techniques during planning, data collection, and data processing activities. Quality assurance methods were used throughout the data collection and processing phases of the census to improve the quality of the data.

Census staff implemented several coverage improvement programs during the development of census enumeration and processing strategies to minimize under-coverage of the population and housing units. A quality assurance program improved coverage in each census. Telephone and personal visit follow-ups also helped improve coverage. Computer and clerical edits emphasized improving the quality and consistency of the data. Local officials participated in post-census local reviews. Census enumerators conducted additional re-canvassing where appropriate.

Abstract copyright UK Data Service and data collection copyright owner.

The 1961 Census Microdata for Great Britain: 9% Sample: Secure Access dataset was created from existing digital records from the 1961 Census. It comprises a larger population sample than the other files available from the 1961 Census (see below) and so contains sufficient information to constitute personal data, meaning that it is only available to Accredited Researchers, under restrictive Secure Access conditions. See Access section for further details.

The file was created under a project known as Enhancing and Enriching Historic Census Microdata Samples (EEHCM), which was funded by the Economic and Social Research Council with input from the Office for National Statistics and National Records of Scotland. The project ran from 2012-2014 and was led from the UK Data Archive, University of Essex, in collaboration with the Cathie Marsh Institute for Social Research (CMIST) at the University of Manchester and the Census Offices. In addition to the 1961 data, the team worked on files from the 1971 Census and 1981 Census.

The original 1961 records preceded current data archival standards and were created before microdata sets for secondary use were anticipated. A process of data recovery and quality checking was necessary to maximise their utility for current researchers, though some imperfections remain (see the User Guide for details).

Three other 1961 Census datasets have been created; users should obtain the other datasets in the series first to see whether they are sufficient for their research needs before considering making an application for this study (SN 8275), the Secure Access version:

• SN 8272 - 1961 Census Microdata Individual File for Great Britain: 5% Sample, which contains information on individuals in larger local authorities;
• SN 8273 - 1961 Census Microdata Household File for Great Britain: 0.95% Sample, which links household members together to allow individuals to be understood within their household context. SNs 8272 and 8273 are both available to registered UK Data Service users based in the United Kingdom (see Access section for non-UK access restrictions); and
• SN 8274 - 1961 Census Microdata Teaching Dataset for Great Britain: 1% Sample: Open Access, which can be used as a taster file and is freely available for anyone to download under an Open Government Licence.

Main Topics:

The file contains information on individuals in local authorities and counties. Topics covered include demographics, for example family and household circumstances, employment and qualifications, migration, commuting, car ownership, and housing.

Starting in mid-July of 2020, despite many delays due to Covid-19, census takers began interviewing households who had not yet responded online or via the mail to the U.S. 2020 Census. The federal census, required by the United States’ Constitution, happens once every 10 years and each time, there are new variations in enumeration (counting) techniques and what statistical data to collect. There are processes around “how” to count and then also “what” to count; the data collected needs to be useful for governance and allocation yet also respectful of privacy and remain fair and impartial for the entire U.S. population. In 2019 and 2020, hundreds of thousands of temporary workers from local communities were hired to go out into the field as census takers as well as staff offices and provide supervision. This 22nd federal census count began in January 2020 with remote portions of Alaska, where the territory was still frozen and traversable. These employed citizens are just one aspect of how the census is truly a community event. Let’s dive into the history of the U.S. Census and also learn why this count is so important.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. This data set represents the boundaries of the 2020 Census Tracts, extracted from the MTDB in 2020. The feature class was re-projected from the Census Bureau shapefile tl_2020_34_tract20.shp . Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. For additional references to explain the data, see Supplemental Information.

The BJS Census of State and Local Law Enforcement Agencies (CSLLEA) is conducted every 4 years to provide a complete enumeration of agencies and their employees. Employment data are reported by agencies for sworn and nonsworn (civilian) personnel and, within these categories, by full-time or part-time status. The pay period that included September 30, 2008, was the reference date for all personnel data. Agencies also complete a checklist of functions they regularly perform, or have primary responsibility for, within the following areas: patrol and response, criminal investigation, traffic and vehicle-related functions, detention-related functions, court-related functions, special public safety functions (e.g., animal control), task force participation, and specialized functions (e.g., search and rescue). The CSLLEA provides national data on the number of state and local law enforcement agencies and employees for local police departments, sheriffs' offices, state law enforcement agencies, and special jurisdiction agencies. It also serves as the sampling frame for BJS surveys of law enforcement agencies.

Our Communities: The 2025 Data Book provides insights into the communities that comprise Cuyahoga County. It is intended to be used by local governments, community organizations, and others interested in learning more about our communities. It can also be used as a resource in preparing grant applications, understanding community changes, and identifying issues to address.The Data Book series was conceived and developed for the following purposes:Assist communities in understanding their Indicators: Provide communities with the data that helps them make funding and programming decisions.Provide recent data in an accessible format: Share data as quickly as possible in ways that are easy to understand and visualize for anyone in a community. Update the data regularly: Select data that can be updated on an annual basis easily and quickly so that communities can see how national, regional, or local polices are affecting them. Vintage of boundaries: 2024Vintage of data: VariesGeography: Census TractsCoverage: Cuyahoga CountyData Sources: U.S. Census Bureau 2020 Census, U.S. Census Bureau Population Estimates, U.S. Census bureau 5-Year American Community Survey (ACS), Longitudinal Employer-Household Dynamics (LEHD), Northeast Ohio Metropolitan Data Resources (NEOMDR), Northeast Ohio Community and Neighborhood Data for Organizing (NEOCANDO), Urban Tree Canopy Assessment (UTC), Cuyahoga County Fiscal Office, County Planning Information and Research, Transportation Information and Mapping Systems (TIMS), Center for Disease Control and Prevention (CDC) Data downloaded from: Various SourcesDate the Data was Downloaded: Varies

The UK censuses took place on 21st April 1991. They were run by the Census Office for Northern Ireland, General Register Office for Scotland, and the Office of Population and Surveys for both England and Wales. The UK comprises the countries of England, Wales, Scotland and Northern Ireland.

Statistics from the UK censuses help paint a picture of the nation and how we live. They provide a detailed snapshot of the population and its characteristics, and underpin funding allocation to provide public services.

The aggregate data produced as outputs from censuses in Great Britain provide information on a wide range of demographic and socio-economic characteristics. They are predominantly a collection of aggregated or summary counts of the numbers of people or households resident in specific geographical areas possessing particular characteristics.

The topics covered by the 1991 Census were virtually the same as those in the 1981 Census. However, new questions were introduced on limiting long-term illness, ethnic group, central heating and term-time address of students. Also a question on weekly hours worked was re-introduced.

The 100% Sample files include information about total population; population in private households and communal establishments; sex; age; marital status; country of birth; ethnicity; migration; employment status; economic activity; household composition; dependent children; dependant adults; long-term illness; household car availability; housing; housing tenure; housing amenities; central heating; linguistic ability (Welsh/Gaelic in Wales and Scotland respectively).

The 10% Sample files contain information about socio-economic composition; employment status; occupations; industry of occupation; hours of work; commuting; qualifications, family type; household composition; age; sex; marital status; ethnicity; housing tenure; social class.

Local Base Statistics (LBS)
The 1991 Census Local Base Statistics (LBS) have around 20,000 statistical counts (cells) contained in 99 tables and cover the complete range of topics in the 1991 Census. They form the basis of the tables to be reproduced for each county (in England and Wales) and region (in Scotland) and for each local authority district. The LBS are available down to ward level in England and Wales and postcode sector level in Scotland.

Small Area Statistics (SAS)
The 1991 Census Small Area Statistics (SAS) tables are an abbreviated version of the Local Base Statistics. They comprise around 10,000 counts for each area and are available as an abstract of some 86 tables for geographic areas down to Enumeration District level in England and Wales and Output Area level in Scotland.

Data can be accessed through CKAN (to bulk download data).

Citation: Office of Population Censuses and Surveys; General Register Office for Scotland; Registrar General for Northern Ireland (1997): 1991 Census aggregate data (Edition: 1997). UK Data Service. DOI: https://doi.org/10.5257/census/aggregate-1991-1

The 1981 Census Microdata Teaching Dataset for Great Britain: 1% Sample: Open Access dataset was created from existing digital records from the 1981 Census. It can be used as a 'taster' file for 1981 Census data and is freely available for anyone to download under an Open Government Licence.

The file was created under a project known as Enhancing and Enriching Historic Census Microdata Samples (EEHCM), which was funded by the Economic and Social Research Council with input from the Office for National Statistics and National Records of Scotland. The project ran from 2012-2014 and was led from the UK Data Archive, University of Essex, in collaboration with the Cathie Marsh Institute for Social Research (CMIST) at the University of Manchester and the Census Offices. In addition to the 1981 data, the team worked on files from the 1961 Census and 1971 Census.

The original 1981 records preceded current data archival standards and were created before microdata sets for secondary use were anticipated. A process of data recovery and quality checking was necessary to maximise their utility for current researchers, though some imperfections remain (see the User Guide for details). Three other 1981 Census datasets have been created:

• SN 8241 - 1981 Census Microdata Individual File for Great Britain: 5% Sample, which contains information on individuals in larger local authorities;
• SN 8242 - 1981 Census Microdata Household File for Great Britain: 0.95% Sample, which links household members together to allow individuals to be understood within their household context. SNs 8241 and 8242 are both available to registered UK Data Service users based in the United Kingdom (see Access section for non-UK access restrictions); and
• SN 8248 - 1981 Census Microdata for Great Britain: 9% Sample: Secure Access, which comprises a larger population sample and so contains sufficient information to constitute personal data, meaning that it is only available to Accredited Researchers, under restrictive Secure Access conditions.

This file is the authoritative resource for Local Health Departments (LHD) in Nebraska. The file was created using the 2020 Census boundaries for counties. Basic census data from 2020 has been summarized by LHD and joined to the spatial boundary. Local Health Department Contacts are included in a related file. LHD main offices are included in the Office file. The Office file has some, but not all, secondary offices for LHD. Contacts and office address/location will be updated on an as needed basis.

Hong Kong Number of Local Office data was reported at 4,799.000 Unit in 2018. This records an increase from the previous number of 4,473.000 Unit for 2017. Hong Kong Number of Local Office data is updated yearly, averaging 2,870.000 Unit from Jun 2001 (Median) to 2018, with 18 observations. The data reached an all-time high of 4,799.000 Unit in 2018 and a record low of 1,230.000 Unit in 2001. Hong Kong Number of Local Office data remains active status in CEIC and is reported by Census and Statistics Department. The data is categorized under Global Database’s Hong Kong SAR – Table HK.O015: Regional Headquarter, Regional Office & Local Office with a Parent Company Located Outside Hong Kong SAR. In the case of a joint-ventured local office in Hong Kong, there may be more than one country/territory where its parent companies were located.

Census 2011 data showing, proportion of population (3+) who speak different languages. The numbers of the population aged 3+ who speak specified languages as their main language at home, by local authority, region and country. Main language from 2011 Census (detailed) - Census table QS204EW.

Abstract

Toward EC2011, the pilot survey aims to:

(1) gain statistical data on the current Cambodian economy which are comparable with the results of EC2011;

(2) gain the updated list of large-scaled establishments;

(3) test the form and other documents; and

(4) test the work procedures of every stage of the enumerators, supervisors, local government offices and NIS.

An establishment is an enterprise or part of enterprise which is situated in a single location and in which only a single (non-ancillary) productive activity is carried out or in which the principal productive activity accounts for most of the value added. This conforms to the International Standard Industrial Classifications (ISIC) Rev.4 of the United Nations. Generally speaking, there are three kinds of establishments: fixed, movable, and I-8 mobile. “Fixed” means an establishment running some economic activity always in the fixed place and building. “Movable” means an establishment running some economic activity always in the fixed place, but it is possible to move the place easily. And “mobile” means an establishment running some economic activity on the run. Since the PS2010 covered “fixed” and “movable” only, unfixed “mobile" was not included in these final results.

Geographic coverage

National Province

Analysis unit

Establishment

Universe

The pilot survey covers all establishments which exist at the reference date in the territory of the Kingdom of Cambodia.

The following establishments, however, are excluded:

(1) establishments classified into "Section A, Agriculture, forestry, and fishing" specified in the United Nations International Standard Industrial Classification of Economic Activities, Revision 4 (hereinafter, quoted as ISIC);

(2) establishments classified into "Section O, Public administration and defense; compulsory social security" specified in ISIC;

(3) establishments classified into "Section U, Activities of extraterritorial organizations and bodies" specified in ISIC; and

(4) establishments classified into "Section T Activities of households as employers; undifferentiated goods-and services-producing activities of households for own use" specified in ISIC.

Kind of data

Sample survey data [ssd]

Sampling procedure

(1) All the villages were stratified into 72 strata by 24 provinces and 3 characteristics of villages (dominant industry in each village: B-F, G-I and J-U except T of ISIC),and 1-5 villages were sampled randomly from each stratum to select 199 villages/Enumeration Areas in total.

(2) Establishments with 99 persons engaged or less existing in the 199 selected villages were enumerated, and appropriate multipliers were used to estimate national total figures from the data thus collected.

(3) In addition, all the large-scaled establishments with 100 persons engaged andmore (estimated to be around 600 establishments) were enumerated throughout the country.

Mode of data collection

Face-to-face [f2f]

Research instrument

Listed below are the forms that used during the field enumeration:

Listing Form: This is a Form where in establishment within a certain village area. The establishment can be defined as an economic unit that engages, under a single ownership or control - that is, under a single legal entity - in one, or predominantly one, kind of economic activity at a single physical location.

Form Questionaire:

1.Area information

2.Establishment Information

Section for Enumerator

3.Characteristics of representative of the establishment

4.Registration to administrative agencies

5.Ownership of Establishment

6.Single unit, Head or Branch office

7.Tenure, Kind and Area

8.Opening Time

9.Year of starting business

10.Number of persons engaged actually in this establishment one week before 1 March 2010

11.Kind of main business activities

12.Number of Branch offices that this head office supervises

13.Total number of entire regular employees at the end of December 2009

14.Kind of business activities of the entire enterprise that include not only those of this head offices but also those of branch offices.

15.Does this Establishment or this Enterprise keep documents of the Balance Sheet and the Income Statements

16.Amount of sales and operating expense per day in a recent month and number of working days

17.Total amounts of assets at the end of December 2009

18.Total amount of equity held at the end of December 2009

19.Total amount of Non-current liabilities at the end of December 2009

20.Total amount of Current liabilities at the end of December 2009

21.Amount of revenue and expense in a year 2009 under “Accrual basis accounting”, which records revenues and related expenses in same period.

Cleaning operations

Coding is a part of the manual editing process that quantifies the descriptive answers to questions that are not pre-coded. The questionnaires used for the Pilot Survey 2010 of economic census have a number of questions for which descriptive answers should be recorded. Descriptive information collected in the survey that should be coded before entering the data into computer are listed below.

Questionnaire Form

• Registration to the Ministry of Commerce or Provincial Department of Commerce Q4.1 to Q4.

• Kind of Main Business Activities which this establishment only is engaged in Q11

• Kind of business activities of the entire enterprise that include not only those of this Head Q14.1 to Q14.2

Sampling error estimates

Not available

This package comprises the first release of 2011 Census data. The data includes a population estimate for males and females by 5-year age bands for each local authority in England and Wales. Also included is a single-year of age estimate for males and females for England and Wales. The data is rounded to the nearest 100. Table H01 - Number of households with at least one usual resident, local authorities Table M01 -Number of non-UK short-term residents by broad age group and sex, England and Wales and constituent countries Table M02 - Number of non-UK short-term residents by sex, local authorities in England and Wales Table P01 - Usual resident population by single year of age and sex, England and Wales Table P02 - Usual resident population by single year of age and sex, England Table P03 - Usual resident population by single year of age and sex, Wales Table P04 - Usual resident population by five-year age group, local authorities in England and Wales Table P05 - Male usual resident population by five-year age group, local authorities in England and Wales Table P06 - Female usual resident population by five-year age group, local authorities in England and Wales Table P07 - Number of usual residents living in households and communal establishments, local authorities in England and Wales Also released with this data was a Quality Assurance Pack for local authorities.

This file contains the digital vector boundaries for Census Merged Local Authority Districts in England and Wales, as at December 2011. The boundaries are super generalised (200m) - clipped to the coastline (Mean High Water mark). Contains both Ordnance Survey and ONS Intellectual Property Rights.REST URL of ArcGIS for INSPIRE View Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/CMLAD_(Dec_2011)_SGCB_GB/MapServerREST URL of ArcGIS for INSPIRE Feature DownloadService – https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/CMLAD_Dec_2011_Super_Generalised_Clipped_Boundaries_GB/WFSServer?service=wfs&request=getcapabilitiesREST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/CMLAD_Dec_2011_SGCB_GB_2022/FeatureServer

The Census data which include: head offices and head office employment (NAICS 551114), annual, for two years of data.

Excel Age-Range creator for 2001 and 2011 Census population figures. This Excel-based tool enables users to query the single year of age raw data so that any age range can easily be calculated without having to carry out often complex, and time consuming formulas that could also be open to human error. Simply select the lower and upper age range for both males and females and the spreadsheet will return the total population for the range. This file uses the single year of age data from the 2011 Census released on 24 September 2012, which was available for all Local Authorities. The ward data is currently modelled data for sex, based on single year of age data from Table qs103ew. The final data will be inserted into the tool when it is released in summer 2013. Also included are the 2001 Census figures for comparison. This tool was created by the GLA Intelligence Unit. A seperate Custom Age-Range Tool for Census 2011 Workday population is available below. This is for local authorities and higher geographies only. Download data from ONS website