Dataset built using the US Census Bureau data API.Calculation methodology for the annual payroll field.

The Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law. In October through December of the census year, forms are sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies.

Abstract

The main objectives of a census are: - to provide current information on demographic and related socio-economic characteristics of the population at national and sub-national levels. Such information facilitates effective planning and evaluation of development programmes; - to provide and maintain a time series of demographic data at national and sub-national levels. These data enhance appraisal of the past, assessment of the present and estimation of future trends; - to develop the national capabilities to produce, coordinate and disseminate relevant, accurate and timely statistics to meet the information needs of various users; - to improve the capability to advise other users and producers of statistics; and - to develop and maintain an efficient sampling frame for surveys.

Geographic coverage

The geographical frame for the 2012 Census followed the spatially defined structure of provinces, administrative districts and wards. In an effort to ensure that the whole country was covered during the enumeration period, the whole country was demarcated into small areas known as enumeration areas (EAs). Each one of these EAs was covered by one enumerator. The identified boundaries of the EAs were such that they did not cut across existing provincial, district, or ward boundaries.

There were also special population categories which, by definition, did not belong to any defined area, or for some reason, required special arrangements in order to be enumerated. The special population categories included among others, the homeless, vagrants, persons who were travelling on trains or buses on the census night, persons in camping sites, prisons, hotels and in other unstable population situations.

Universe

A population census can be taken either on a de facto or de jure basis. The latter involves enumerating people at their place of usual residence. The 2012 census however, was conducted on a de facto basis, relating to the night of the17th of August. This means that all those people who spent the night of the 17th /18th of August in Zimbabwe were counted, irrespective of their citizenship, nationality or residence status. Consequently, Zimbabweans who were out of the country on t

It should be noted that the main objects of the enumeration are i) the individual and ii) the household. A household, as defined for the 2012 Population census, is a person or group of persons who stayed the census night i.e. Friday night of the 17-18th of August, 2012, together in a dwelling unit, whether or not they were related by blood or marriage. he census night were not counted.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

Census information was collected using a pre-coded questionnaire (see copy in Appendix 1a). The questionnaire was made up of the following sections: A. Identification of enumeration area and household B. Socio-economic and demographic characteristics of household members. Disability was included here. C. School attendance and level of education attained by all household members age 3 years and above. Current attendance for those age 3 - 24 years. D. Labour force characteristics for those age 10 years and above E. Fertility questions for women age 15-49 years F. Living conditions G. Deaths in the household in the past 12 months H. Total number of people in the household by sex

A simplified version of the questionnaire was used for some special population categories, e.g. the vagrants and those in prison.

All data collected during the Internet Census 2012 is available for download via BitTorrent. It is released into public domain so everybody can use it for any purpose. For an explanation of what this data is and how it was obtained, see Paper. The full download is 568GB large. The data is segmented and organized into folders and subfolders, so you may just choose the files you need and don t have to download everything. The data is tab separated, ordered by IP and timestamp. The torrent also contains an offline version of this website and tab separated lists of the data which can be browsed in the service probe overview section, in the Hilbert Browser and in the reverse DNS overview. The data is compressed using ZPAQ 1.10, which is default in Debian and Ubuntu. It was found to have the smallest filesize, although it comes at the cost of very high cpu usage. Python code to distribute decompression workload across LAN computers is part of the code pack. Decompressing all data results in

This is data from the preliminary results of the Zimbabwe Census 2012

Abstract

The 2012 Population and Housing census of Tuvalu is the third census conducted by the Central Statistics Division since Tuvalu gained political independence in 1978. This document provides the population and housing information on areas covering general health, education, labour force, employment, disability, children, youth, aging-population, gender, communication, technology, urbanization, home appliances and many others.

Geographic coverage

National Coverage

Analysis unit

Individuals and Household-levels

Universe

The Census covered the whole population of Tuvalu

Kind of data

Census/enumeration data [cen]

Sampling procedure

This is a Census of the Population which covers 100% of the Tuvalu population which does not have any sampling procedures.

Mode of data collection

Face-to-face [f2f]

Research instrument

The 2012 Tuvalu Census questionnaires is divided into 2 sections:

1) A household questionnaire which was used to collect information on all household characteristics (dwelling). 2) A personal questionnaire administered in each household to all household members currently residing or away on temporary basis during census night.

The Household section of the questionnaire covers areas of household characteristics such as the type of living quaters, house ownership, construction of the house, source of drinking water, source of cooking energy, source of lighting, electrical appliances, etc.

The second section of the Questionnaire module or the Personal (Individual) section covers all household members demographic characteristics, social and economical backgrounds.

The Census Questionnaires has questions both in English and also in the local Tuvaluan language.

2012 Census results in Brief

Geographic coverage

National

Analysis unit

Households Individuals

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire is made up of the following modules: - Household Identification (Huishoud Identificatie) - Indivdiual Module (Persoonsmodule) - Household module (Huishoudmodule)

Abstract

The 2012 Population and Housing Census (PHC) for United Republic of Tanzania was carried out on the 26th August, 2012. This was the fifth Census after the Union of Tanganyika and Zanzibar in 1964. Other Censuses were carried out in 1967, 1978, 1988 and 2002. The 2012 PHC, like others, will contribute to the improvement of quality of life of Tanzanians through the provision of current and reliable data for development planning, policy formulation and services delivery as well as for monitoring and evaluating national and international development frameworks.

The information collected for the 2012 PHC will be used in monitoring and evaluating the Development Vision 2025 for Tanzania Mainland and Zanzibar Development Vision 2020, Five Year Development Plan 2011/12 - 2015/16, National Strategy for Growth and Reduction of Poverty (NSGRP), commonly known as MKUKUTA, and Zanzibar Strategy for Growth and Reduction of Poverty (ZSGRP), commonly known as MKUZA. The census will also provide information for the evaluation of the Millennium Development Goals (MDGs) in 2015. The Poverty Monitoring Master Plan, which is the monitoring tool for NSGRP and ZSGRP, mapped out core indicators for poverty monitoring against the sequence of surveys, with the 2012 Census being one of them. Several of these core indicators for poverty monitoring will be measured directly from the 2012 Census. The census will also provide a denominator for the determination of other indicators such as enrolment and literacy rates, infant and maternal mortality rates, unemployment rate and others.

Geographic coverage

National

Analysis unit

• Households;
• Individuals

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Abstract

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

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

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit for the CA 2012 was the farm, an operating unit defined as any place from which USD 1 000 or more of agricultural products were produced and sold, or normally would have been sold, during the census year.

Kind of data

Census/enumeration data [cen]

Sampling procedure

i. Methodological modality for conducting the census The classical approach was used in the CA 2012.

ii. Frame NASS maintains a list of farmers and ranchers from which the CML is compiled.

iii. Complete and/or sample enumeration methods The CA 2012 was an enumeration of all known agricultural holdings meeting the USDA definition of a farm.

Mode of data collection

Mail Questionnaire [mail]

Research instrument

Seven regionalized versions of the main report form (questionnaire) were used for the CA 2012. The report form versions were designed to facilitate reporting on the crops most commonly grown within each report form region. Additionally, an American Indian report form was developed to facilitate reporting for operations on reservations in Arizona, New Mexico and Utah. All of the forms allowed respondents to write in specific commodities that were not listed on their form.

• Land owned
• Land use
• Irrigation
• Conservation programs and crop insurance
• Field crops
• Bananas, coffee, pineapples and plantain crops
• Hay and forage crops
• Nursery, Greenhouse, Floriculture, Sod and tree seedlings
• Vegetables and melons
• Hydroponic crops
• Fruit
• Root crops
• Cattle and calves
• Poultry
• Hogs and pigs
• Aquaculture
• Other animals and livestock products
• Value of sales
• Organic agriculture
• Federal and commonwealth agricultural program payments
• Income from farm-related sources
• Production expenses
• Farm labour
• Fertilizer and chemicals applied
• Market value of land and buildings
• Machinery, equipment and buildings
• Practices
• Type of organization
• Operator characteristics

The CA 2012 covered all 16 core items recommended to be collected in the WCA 2010. See questionnaire in external materials.

Cleaning operations

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

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

Data appraisal

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

description: The Census of Agriculture provides a detailed picture every five years of U.S. farms and ranches and the people who operate them. Conducted by USDA s National Agricultural Statistics Service, the 2012 Census of Agriculture collected more than six million data items directly from farmers. The Ag Census Web Maps application makes this information available at the county level through a few clicks. The maps and accompanying data help users visualize, download, and analyze Census of Agriculture data in a geospatial context.; abstract: The Census of Agriculture provides a detailed picture every five years of U.S. farms and ranches and the people who operate them. Conducted by USDA s National Agricultural Statistics Service, the 2012 Census of Agriculture collected more than six million data items directly from farmers. The Ag Census Web Maps application makes this information available at the county level through a few clicks. The maps and accompanying data help users visualize, download, and analyze Census of Agriculture data in a geospatial context.

The Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law. In October through December 2012, forms were sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies.

Abstract

The main aim for the establishment census 2012 is to enumerate all of the economic establishments operating in Palestine in 2012, except for those establishments engaged in farming activities, and building a new updated a classified establishment register according to the geographical distribution, main economic activity according to international recommendations.

The goals for the Establishment Census could be summarized as follows: 1. Distribution of establishments by various economic activities. 2. Distribution of establishments by the Palestinian governorates. 3. The size of employment in various economic activities and its distribution by sex. 4. Distribution establishments in terms of economic organization, legal status, ownership and operation status. 5. The value of capital invested in establishments. 6. Distribution establishments in terms of registration status with the official authorities. 7. The rate of growth in the number of economic establishments.

Geographic coverage

The Establishment Census 2012 includes all of the establishments in Palestine, whether those of the government or international organizations and institutions, non-profit, and establishments engaged in economic activities in the markets or in factories and companies, or those that exercise an economic activity in houses and have the definition of an establishment, with the exception of those establishments engaged in the agriculture, forestry, fishing and animal husbandry

Analysis unit

Establishment

Universe

The establishment considered the statistical unit that the data collection was upon, which is an institution or part of it, which is located in one place and specializes mainly in one major activity (non Assistant) which will bring most of the added value, classified within the same activity (with probability of production of secondary activities) and for which data are available, allowing for calculating of operating surplus account, which provides data for both: workers, and expenses, production and revenue, and fixed assets. An establishment must provide the following requirements: 1.Participation in an economic activity, any establishment should provide good or service to the market. 2.The presence in a fixed place. 3.A holder of an establishment, whether an individual or a legal entity. 4.The presence of a single management of the establishment

Kind of data

Census/enumeration data [cen]

Sampling procedure

comprehensive census of all economic establishment in palestine

Mode of data collection

Face-to-face [f2f]

Research instrument

The establishment Census form consisted of two sections:

Part one: Identification data, which included basic information about the establishments, governorate, Locality, number of enumeration area, Building No. in the enumeration area, serial number of establishment in the enumeration area, establishment commercial name, name of holder or director, sex of the holder or director, phone number, location and description, including the name of the neighborhood and the street and the name of the building or the owner of the building, and the working status of the establishment.

Part two: data on operating establishments only, which include: (Description of the main economic activity, Ownership, Economic organization, Legal status, Establishment Year, Number of employees, Preparing of accounting records, Licensing and registration, No. workers, present value of capital, owner Identity No. or director of the of establishment).

Special form for Jerusalem Governorate area (J1) Due to the special situation in the Jerusalem governorate, specially J1 area (those parts of Jerusalem which were annexed by Israel in 1967) a short form for census questionnaire has been designed, which include the following questions: (Identification data for the establishment, working status, main economic activity, ownership of establishment, economic organization, establishment year, the number of employees in the establishment (paid, unpaid)).

Cleaning operations

The data processing stage includes editing, coding, data entry, reviewing lists and checking all previous operations of data entry for all enumeration areas. All procedures and instructions were conducted to check the consistency of the data and coding fields and ensure the entry of all enumeration areas and booklets and questionnaires, with their content of establishment data. As booklets and questionnaires required checking and moving from one operation site to another, a store was prepared for all the documents to be indexed and categorized and the store keeper controlled the flow of documents.

Coding manuals were prepared and examined beforehand, as well as the instructions for editing and coding procedures to check the consistency of the data and how to detect and correct errors. All editing and coding employees were selected from among the best fieldworkers who collected the data from establishments owners or manager. Training was conducted centrally to ensure uniform concepts and to eliminate disparities in fieldwork in all governorates. Editing, coding and testing the consistency of 100% of the questionnaires was conducted, in addition to desk reviewing, editing and coding (100%) in order to eliminate differences between individual editors and to discover and correct errors and circulate them daily.

Tests were held for all applicants for data entry and those who performed best were trained centrally in a uniform procedure of data entry. During the first three days, all date entered were deleted and re-entered again to correct errors and inform employees so as to avoid such errors in the future. Certain procedures were adopted to ensure correct data entry: in the first stage a unique separate file was prepared for each enumeration area that included identification data (to ensure coverage), the number of establishments and the total number of booklets to ensure that all booklets and all households had been entered. Upon data entry, a thorough examination of the identification data and the range of each digital key question was conducted so that the computer did not accept any figure outside this range. For example, the operation status, sex and all the pre-coded questions in the establishment questionnaire, and the type of building in the buildings questionnaire. The remaining questions were exposed to a comprehensive re-examination of the range of each question after data entry and the extraction of error lists resulting from data inconsistency.

After data entry, certain lists were extracted to ensure the coverage of all enumeration areas, and establishments, and to examine the internal consistency of the data of each unit. The procedures used were to extract error lists that must be corrected or questioned These lists were submitted to the best reviewers under full supervision of the technical operations in the census directorate.

Specific programs previously prepared were used to detect errors according to the following procedures: 1. An instruction manual was prepared for desk editing and procedures for the establishments' questionnaire. A set of desk editing instructions were printed and the procedures for the questionnaire containing tests designed to ensure the coverage of data entry, to detect inconsistencies or to detect abnormal and rare cases. These were reviewed and printed with a name and number given to every error in the manual. 2. A list was extracted for each enumeration area, including the identification data of each establishment message (type of check) and the number printed in the manual. The auditor could then recognize the message name and type of error, location and procedures of editing and audit procedures patch, which consists of several checks on several stages. 3. Lists were submitted to the reviewers to return to the original booklets. If the error was caused by data entry, it would be corrected on the list. If the error was due to fieldwork, all associated questions should be considered for correction. For example, if the operation status of the establishment was closed, it must be no answers on the questions after it. The first check would be conducted through manual editing, then extracting the electronic lists after data entry for such types of tests, then they would be corrected manually on the original booklets and data re-entered correctly. As for the coverage test, there is a key reference that contains all enumeration areas and shows the number of booklets and establishments in the enumeration area to be entered on the computer. At this point, if there was a variation between the number of booklets and establishments actually entered and the total number of establishments in the file of each area, an error message appears to request correction. Through this method, we ensured that 100% of the establishments were entered.

All lists for the enumeration areas were extracted in this way and all kinds of tests. 1. Amended lists were sent back to data entry to be entered and corrected and a copy of the daily entered data was kept in several different places. 2. Previous stages were conducted twice or more until the data of each enumeration area became clean. 3. All files were compiled for enumeration areas for each locality and governorate. Then, all tables and any additional tests were conducted to test the data before the final tabulation in order to correct errors according to the aforementioned procedures.

Sampling error estimates

-

Data appraisal

There are two types of error that can occur: statistical errors and

Economic Census Summary Statistics for Enterprise Support Establishments by Industry

With the creation of the first drug court in Miami-Dade County, Florida in 1989, problem-solving courts emerged as an innovative effort to close the revolving door of recidivism. Designed to target the social and psychological problems underlying certain types of criminal behavior, the problem-solving model boasts a community-based, therapeutic approach. As a result of the anecdotal successes of early drug courts, states expanded the problem-solving court model by developing specialized courts or court dockets to address a number of social problems. Although the number and types of problem-solving courts has been expanding, the formal research and statistical information regarding the operations and models of these programs has not grown at the same rate. Multiple organizations have started mapping the variety of problem-solving courts in the county; however, a national catalogue of problem-solving court infrastructure is lacking. As evidence of this, different counts of problem-solving courts have been offered by different groups, and a likely part of the discrepancy lies in disagreements about how to define and identify a problem-solving court. What is known about problem-solving courts is therefore limited to evaluation or outcome analyses of specific court programs. In 2010, the Bureau of Justice Statistics awarded the National Center for State Courts a grant to develop accurate and reliable national statistics regarding problem-solving court operations, staffing, and participant characteristics. The NCSC, with assistance from the National Drug Court Institute (NDCI), produced the resulting Census of Problem-Solving Courts which captures information on over 3,000 problem-solving courts that were operational in 2012.

Data from the 2012 population census at the level of major neighbourhoods on the theme Activity

The Economic Census is the U.S. Government's official five-year measure of American business and the economy. It is conducted by the U.S. Census Bureau, and response is required by law. In October through December of the census year, forms are sent out to nearly 4 million businesses, including large, medium and small companies representing all U.S. locations and industries. Respondents were asked to provide a range of operational and performance data for their companies.This dataset presents data for a variety of industry-specific topics for establishments of firms with payroll. Presentation of data varies by kind of business.

Data from the 2012 population census at the scale of large neighborhoods on the theme Families

Economic places used to tabulate Economic Census data vary from places used to tabulate data from the decennial census, the American Community Survey and other demographic surveys. In addition to incorporated places and census designated places (CDPs), economic places include, minor civil divisions (MCDs) in the twelve strong MCD states, and balances of MCDs or counties. An incorporated place, CDP, MCD, or balance of MCD qualifies as an economic place if it contains 2,500 or more people according to the 2010 Decennial Census, or 2,500 or more jobs according to data from the 2006-2010 5-year ACS period estimates, or is a new or significantly revised place since the 2010 Census and has an estimated population of 2,500 or greater. The Economic Census place boundaries are as of January 1, 2012.

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