This dataset shows the different demographic and socio-economic aspects that were covered in the 2014 National Population and Housing Census conducted by UBOS.

Abstract

ABSTRACT OF ECONOMIC CENSUS IN INDIA

1. GENESIS

A reliable and robust database is the foundation of organized and proper planning. TheCentral Statistics Office (CSO), since its inception, has been instrumental in creation of database forvarious sectors of the economy and its periodic updation so as to meet the requirements of the plannersfor sound and systematic planning both at the macro as well as micro levels. While data requirementsmay be enormous in various sectors, the judicious collection and maintenance of data for varioussectors within the available resource is a challenge. Our economy can broadly be classified into twosectors, namely, Agricultural and Non-Agricultural sectors. Fairly reasonable database exists forAgricultural Sector whereas such data base for Non-Agricultural sector is much desired. Keeping inview the importance of the non-agricultural sector in the economy and non-availability of basic framefor adoption in various sampling techniques for collection of data and estimation of various parameters,conducting Economic Census was felt necessary. With this background, the CSO started EconomicCensus for preparing frame of establishments, particularly the ‘area frame’ which could be used forvarious surveys for collection of detailed data, mainly on non-agricultural sector of the economy.

1. EARLIER ATTEMPTS

Broadly the entire planning period may be divided into two: prior to conduct of the FirstEconomic Census i.e. prior to 1977 and thereafter i.e. after the economic census was carried outperiodically. Efforts to fill up the data gaps for the non-agricultural sector were made right from thebeginning of the First Five Year Plan. The first National Sample Survey (NSS) round (1950-51)covered non-agricultural household establishments as one of its subject themes. Such establishmentswere covered regularly up to the tenth NSS round (1955-56). Subsequently, selected activities weretaken up for survey intermittently in different rounds (14th, 23 rd & 29th rounds). Establishmentschedules were canvassed in 1971 population census. The census of unorganized industrial units wascarried out during 1971 -73. Census of the units falling within the purview of Development Commissioner, Small Scale Industries, was carried out during 1973-74 and a survey on distributivetrade was conducted by some of the States during the Fourth Five-Year Plan period (1969-74). Allsuch efforts made prior to 1977 to collect data on non-agricultural establishments have been partial andsporadic. Area sampling with probability proportional to population were mostly used even to captureestablishments. For a survey of establishments such sample design is not only inefficient but alsoresults in under coverage of desired number of establishments and low reliability of the estimatesderived. The prolonged efforts of statisticians and planners in finding a way out for collection ofinformation on amorphous areas of activity resulted in a decisive breakthrough with the advent ofconduct of Economic Census.

1. ECONOMIC CENSUSES CONDUCTED IN THE PAST

The Economic Enquiry Committee set up in 1925 under the Chairmanship of Dr.Visweswarayya and more importantly the Bowley-Robertson Committee set up later in 1934, were mainly responsible for the government’s decision to set up an Inter-Departmental Committee with theEconomic Adviser to the Government of India as the chairman. The Inter-Departmental Committeerecommended the formation of a Central Statistical Office for coordination, institution of a statisticalcadre, establishment of State Bureaus at State Head Quarters and maintenance of important statisticsfor the entire country. Bowley and Robertson Committee also commissioned a study to explore thepossibility of conducting economic censuses in India. The first coordinated approach was made by theerstwhile Central Statistical Organisation (CSO), Government of India, by launching a plan scheme'Economic Census and Surveys' in 1976. The scheme envisaged organising countrywide census of alleconomic activities (excluding those engaged in crop production and plantation) followed by detailedsample surveys of unorganised segments of different sectors of non-agricultural economy in a phasedmanner during the intervening period of two successive economic censuses.The basic purpose of conducting the economic census (EC) was to prepare a frame for followup surveys intended to collect more detailed sector specific information between two economiccensuses. In view of the rapid changes that occur in the unorganised sectors of non-agriculturaleconomy due to high mobility or morbidity of smaller units and also on account of births of new units,the scheme envisaged conducting the economic census periodically in order to update the frame fromtime to time.

1. First Economic Census (EC -1977) and Follow Up Surveys

The First Economic Census was conducted throughout the country, except Lakshadweep,during 1977 in collaboration with the Directorate of Economics & Statistics (DES) in the States/UnionTerritories (UT). The coverage was restricted to only non-agricultural establishments employing atleast one hired worker on a fairly regular basis. Data on items such as description of activity, number ofpersons usually working, type of ownership, etc. were collected.Reports based on the data of EC-1977 at State/UT level and at all India level were published.Tables giving the activity group-wise distribution of establishments with selected characteristics andwith rural and urban break up were generated. State-wise details for major activities and size-class ofemployment in different establishments, inter-alia, were also presented in tables.Based on the frame provided by the First Economic Census, detailed sample surveys werecarried out during 1978-79 and 1979-80 covering the establishments engaged in manufacturing, trade,hotels & restaurants, transport, storage & warehousing and services. While the smaller establishments(employing less than six workers) and own account establishments were covered by National SampleSurvey Organisation (NSSO) as a part of its 33rd and 34th rounds, the larger establishments were covered through separate surveys by the CSO. Detailed information on employment, emoluments,capital structure, quantity & value of input, output, etc. were collected and reports giving all importantcharacteristics on each of the concerned subjects were published.

1. Second Economic Census (EC-1980) and Follow Up Surveys

The Second Economic Census was conducted in 1980 along with the house-listing operations ofPopulation Census 1981. This was done with a view to economizing resources, manpower, time andmoney. The scope and coverage were enlarged. This time all establishments engaged in economicactivities - both agricultural and non-agricultural whether employing any hired worker or not werecovered, except those engaged in crop production and plantation. All States/UTs were covered withthe sole exception of Assam, where Population Census 1981 was not conducted.The information on location of establishment, description of economic activity carried out,nature of operation, type of ownership, social group of owner, use of power/fuel, total number ofworkers usually engaged with its hired component and break-up of male and female workers werecollected. The items on which information were collected in Second Economic Census were more orless the same as those collected in the First Economic Census. However, based on experience gained inthe First Economic Census certain items viz. years of operation, value of annualoutput/turnover/receipt, mixed activity or not, registered/ licensed/recognised and act or authority, ifregistered were dropped.The field work was done by the field staff consisting of enumerators and supervisors employedin the Directorate of Census Operations of each State/UT. The State Directorates of Economics &Statistics (DES) were also associated in the supervision of fieldwork. Data processing and preparationof State level reports of economic census and their publication were carried out by the DES.Based on the frame thrown up by EC-1980, three follow-up surveys were carried out, one in1983-84 on hotels & restaurants, transport, storage & warehousing and services, second in 1984-85 onunorganised manufacturing and third in 1985- 86 on wholesale and retail trade.The economic census scheduled for 1986 could not be carried out due to resource constraints.However, the EC- 1980 frame was updated during 1987-88 in 64 cities (12 cities having more than 10lakh population and 52 other class-I cities) which had problems of identification of enumerationblocks and changes due to rapid urbanization. On the basis of the updated frame, four follow-upsurveys were conducted during 1988-89, 1989-90, 1990-91 and 1991-92 covering the subjects ofhotels & restaurants and transport, unorganized manufacturing, wholesale & retail trade and medical,educational, cultural & other services respectively.

1. Third Economic Census (EC-1990) and Follow Up Surveys

The Third Economic Census was synchronized with the house listing operations of the Population Census 1991 on the same pattern as EC- 1980. The coverage was similar to that of EC-1980. All States/UTs except Jammu & Kashmir, where Population Census 1991 was not undertaken,were covered.Based on the frame thrown up by EC-1990 four follow up surveys were carried out:(i) Establishment Survey covering sectors of mining & quarrying, storage & warehousingin 1992-93;(ii) Establishment Survey covering sectors of hotels & restaurants and transport in 1993-94;(iii) NSS 51 st round covering directory, non-directory and own account establishments inunregistered manufacturing sector in 1994-95; and(iv) Directory Trade Establishments Survey in 1996-97. NSS 53 rd round covered theresidual part of the unorganised trade sector in 1997.

1. Fourth Economic Census (EC-1998) and Follow up Surveys

About this dataset

Context

The dataset tabulates the Birch Run population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Birch Run. The dataset can be utilized to understand the population distribution of Birch Run by age. For example, using this dataset, we can identify the largest age group in Birch Run.

Key observations

The largest age group in Birch Run, MI was for the group of age 60-64 years with a population of 238 (18.38%), according to the 2021 American Community Survey. At the same time, the smallest age group in Birch Run, MI was the 85+ years with a population of 17 (1.31%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Birch Run is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Birch Run total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Birch Run Population by Age. You can refer the same here

The 2010 Census Production Settings Redistricting Data (P.L. 94-171) Demonstration Noisy Measurement File (2023-04-03) is an intermediate output of the 2020 Census Disclosure Avoidance System (DAS) TopDown Algorithm (TDA) (as described in Abowd, J. et al [2022] https://doi.org/10.1162/99608f92.529e3cb9 , and implemented in https://github.com/uscensusbureau/DAS_2020_Redistricting_Production_Code). The NMF was produced using the official “production settings,” the final set of algorithmic parameters and privacy-loss budget allocations, that were used to produce the 2020 Census Redistricting Data (P.L. 94-171) Summary File and the 2020 Census Demographic and Housing Characteristics File.

The NMF consists of the full set of privacy-protected statistical queries (counts of individuals or housing units with particular combinations of characteristics) of confidential 2010 Census data relating to the redistricting data portion of the 2010 Demonstration Data Products Suite – Redistricting and Demographic and Housing Characteristics File – Production Settings (2023-04-03). These statistical queries, called “noisy measurements” were produced under the zero-Concentrated Differential Privacy framework (Bun, M. and Steinke, T [2016] https://arxiv.org/abs/1605.02065; see also Dwork C. and Roth, A. [2014] https://www.cis.upenn.edu/~aaroth/Papers/privacybook.pdf) implemented via the discrete Gaussian mechanism (Cannone C., et al., [2023] https://arxiv.org/abs/2004.00010), which added positive or negative integer-valued noise to each of the resulting counts. The noisy measurements are an intermediate stage of the TDA prior to the post-processing the TDA then performs to ensure internal and hierarchical consistency within the resulting tables. The Census Bureau has released these 2010 Census demonstration data to enable data users to evaluate the expected impact of disclosure avoidance variability on 2020 Census data. The 2010 Census Production Settings Redistricting Data (P.L.94-171) Demonstration Noisy Measurement File (2023-04-03) has been cleared for public dissemination by the Census Bureau Disclosure Review Board (CBDRB-FY22-DSEP-004).

The data includes zero-Concentrated Differentially Private (zCDP) (Bun, M. and Steinke, T [2016]) noisy measurements, implemented via the discrete Gaussian mechanism. These are estimated counts of individuals and housing units included in the 2010 Census Edited File (CEF), which includes confidential data initially collected in the 2010 Census of Population and Housing. The noisy measurements included in this file were subsequently post-processed by the TopDown Algorithm (TDA) to produce the 2010 Census Production Settings Privacy-Protected Microdata File - Redistricting (P.L. 94-171) and Demographic and Housing Characteristics File (2023-04-03) (https://www2.census.gov/programs-surveys/decennial/2020/program-management/data-product-planning/2010-demonstration-data-products/04-Demonstration_Data_Products_Suite/2023-04-03/). As these 2010 Census demonstration data are intended to support study of the design and expected impacts of the 2020 Disclosure Avoidance System, the 2010 CEF records were pre-processed before application of the zCDP framework. This pre-processing converted the 2010 CEF records into the input-file format, response codes, and tabulation categories used for the 2020 Census, which differ in substantive ways from the format, response codes, and tabulation categories originally used for the 2010 Census.

The NMF provides estimates of counts of persons in the CEF by various characteristics and combinations of characteristics including their reported race and ethnicity, whether they were of voting age, whether they resided in a housing unit or one of 7 group quarters types, and their census block of residence after the addition of discrete Gaussian noise (with the scale parameter determined by the privacy-loss budget allocation for that particular query under zCDP). Noisy measurements of the counts of occupied and vacant housing units by census block are also included. Lastly, data on constraints—information into which no noise was infused by the Disclosure Avoidance System (DAS) and used by the TDA to post-process the noisy measurements into the 2010 Census Production Settings Privacy-Protected Microdata File - Redistricting (P.L. 94-171) and Demographic and Housing Characteristics File (2023-04-03) —are provided.

Graph and download economic data for Housing Inventory Estimate: Vacant Housing Units Held Off the Market and for Occasional Use in the South Census Region (EOCCUSESOQ176N) from Q2 2000 to Q1 2025 about South Census Region, vacancy, inventories, housing, and USA.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Coal Run Village, KY, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Coal Run Village did not include 4, or 6-person households. Across the different household sizes in Coal Run Village the mean income is $68,540, and the standard deviation is $46,814. The coefficient of variation (CV) is 68.30%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $29,650. It then further increased to $54,384 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/coal-run-village-ky-median-household-income-by-household-size.jpeg" alt="Coal Run Village, KY median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Coal Run Village median household income. You can refer the same here

To ensure an accurate sampling frame for its Law Enforcement Management and Administrative Statistics (LEMAS) survey, the Bureau of Justice Statistics sponsors a census of the nation's state and local law enforcement agencies, known as the Directory Survey. This census, which is conducted every four years, includes all state and local law enforcement agencies operating nationwide that are publicly funded and employ at least one full-time or part-time sworn officer with general arrest powers. As in previous years, the 2004 census collected data on the number of sworn and nonsworn personnel employed by each agency, including both full-time and part-time employees. The pay period that included September 30, 2004, was the reference date for all personnel data. Variables include personnel totals, type of government, type of agency, and whether the agency had the legal authority to hold a person beyond arraignment for 48 or more hours. Previous censuses were conducted in 1986 (DIRECTORY OF LAW ENFORCEMENT AGENCIES, 1986: [UNITED STATES] [ICPSR 8696]), 1992 (DIRECTORY OF LAW ENFORCEMENT AGENCIES, 1992: [UNITED STATES] [ICPSR 2266]), 1996 (DIRECTORY OF LAW ENFORCEMENT AGENCIES, 1996: [UNITED STATES] [ICPSR 2260]), and 2000 (Census of State and Local Law Enforcement Agencies (CSLLEA), 2000: [United States] [ICPSR 3484]).

Citywide street tree data from the 2005 Street Tree Census, conducted partly by volunteers organized by NYC Parks & Recreation. Trees were inventoried by address, and were collected from 2005-2006. Data collected includes tree species, diameter, condition.

Series Name: Proportion of countries that have conducted at least one population and housing census in the last 10 years (percent)Series Code: SG_REG_CENSUSRelease Version: 2020.Q2.G.03 This dataset is the part of the Global SDG Indicator Database compiled through the UN System in preparation for the Secretary-General's annual report on Progress towards the Sustainable Development Goals.Indicator 17.19.2: Proportion of countries that (a) have conducted at least one population and housing census in the last 10 years; and (b) have achieved 100 per cent birth registration and 80 per cent death registrationTarget 17.19: By 2030, build on existing initiatives to develop measurements of progress on sustainable development that complement gross domestic product, and support statistical capacity-building in developing countriesGoal 17: Strengthen the means of implementation and revitalize the Global Partnership for Sustainable DevelopmentFor more information on the compilation methodology of this dataset, see https://unstats.un.org/sdgs/metadata/

About this dataset

Context

The dataset presents median household incomes for various household sizes in Laurel Run, PA, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Laurel Run did not include 4, 5, 6, or 7-person households. Across the different household sizes in Laurel Run the mean income is $71,836, and the standard deviation is $44,281. The coefficient of variation (CV) is 61.64%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $45,263. It then further increased to $122,954 for 3-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/laurel-run-pa-median-household-income-by-household-size.jpeg" alt="Laurel Run, PA median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Laurel Run median household income. You can refer the same here

Description:

Since 2009, the departmental directorate of the Marne territories has been carrying out a census of the land resources available within the main urban areas of the Marne. This census concerns land rights of way corresponding on the one hand to known or probable brownfields of all types (industrial, railway, military, etc.) and on the other hand to unbuilt spaces surrounded by built plots (at least 2) qualified as hollow teeth. The area retained for hollow teeth since 2015 is 500 m² and that of brownfields 2 000 m² This census is not exhaustive. Census conducted until October 2015.

Genealogy:

A first census of brownfields was carried out from databases of the Ministry of Ecology, Sustainable Development and Energy “BASIAS” and “Basol”, listing polluted sites. Visits by the territorial referents (RT) of the departmental directorate of the territories were then carried out on site and made it possible to complete the first census.

According to the definition adopted by the DDT, the hollow teeth identified have an area greater than 400 m² (500 m² since 2015). Hollow teeth located in areas AU (area to be urbanised) and N (natural and forested) or enclaved with no service, were not retained. Land of more than 400 m² with an area U (urban area) of less than 400 m² is excluded. Visits by the territorial referents (RT) of the departmental directorate of the territories were then carried out on site and made it possible to complete the first census, which is not exhaustive.

About this dataset

Context

The dataset tabulates the Birch Run township population distribution across 18 age groups. It lists the population in each age group along with the percentage population relative of the total population for Birch Run township. The dataset can be utilized to understand the population distribution of Birch Run township by age. For example, using this dataset, we can identify the largest age group in Birch Run township.

Key observations

The largest age group in Birch Run Township, Michigan was for the group of age 60-64 years with a population of 592 (10.08%), according to the 2021 American Community Survey. At the same time, the smallest age group in Birch Run Township, Michigan was the 85+ years with a population of 79 (1.35%). Source: U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Age groups:

• Under 5 years
• 5 to 9 years
• 10 to 14 years
• 15 to 19 years
• 20 to 24 years
• 25 to 29 years
• 30 to 34 years
• 35 to 39 years
• 40 to 44 years
• 45 to 49 years
• 50 to 54 years
• 55 to 59 years
• 60 to 64 years
• 65 to 69 years
• 70 to 74 years
• 75 to 79 years
• 80 to 84 years
• 85 years and over

Variables / Data Columns

• Age Group: This column displays the age group in consideration
• Population: The population for the specific age group in the Birch Run township is shown in this column.
• % of Total Population: This column displays the population of each age group as a proportion of Birch Run township total population. Please note that the sum of all percentages may not equal one due to rounding of values.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Birch Run township Population by Age. You can refer the same here

Abstract

Agriculture significantly contributes to Indonesia’s economy. Up to 2013, this sector is the second largest contribution behind manufacturing industry sector, even though the value of the contribution keeps declining from time to time. However, the interesting fact is that approximately a third of total labor force depends on this sector (National Labor Force Survey, August 2013). To develop agriculture sector requires detailed and accurate data on various characteristics of agricultural holdings. Therefore, to meet the requirement for the data, BPS (Statistics Indonesia) as the national statistical office has conducted not only surveys but also census on agriculture. Since independence, Indonesia has carried out national agricultural census six times. The first was the 1963 Agricultural Census that might hardly be successful in practice but served as a reference to the next censuses refinement.

Objectives of Agricultural Census 2013:

The data obtained from the census has distinct characteristics compared to the data from annual agricultural surveys. The main purposes of the 2013 Census are as follows:

a. Collecting accurate and comprehensive data that delineate agriculture condition in Indonesia.

b. Building sampling frame to be used for agricultural surveys.

c. Collecting information on agricultural population, peasants or farmers with = 0.5 hectare of farmland), crops and livestock, landowning and cultivation, etc. The result of the 2013 Census will be used as benchmarks for various agricultural surveys.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit was the agricultural holding, defined as an activity producing agricultural products with the aim of partially or completely selling or exchanging the products, except when food crops were exclusively for self-consumption. In general, two types of holdings were covered in the household sector: agricultural production households ("household agricultural holding") and other households ("non-agricultural households").

Kind of data

Census/enumeration data [cen]

Sampling procedure

(a) Complete Enumeration The 2013 Agricultural Census applied complete enumeration of agricultural households. It was meant to collect data and information on population of agricultural holdings, number of crops and livestock, and farmland area distribution. The result of the census will be used as sampling frame and benchmark for further agricultural surveys.The agricultural census activities also included the surveys that provide supporting data for the census itself. The beginning activity in the implementation stage was updating households and buildings, conducted in May 2013, in order to discover current information on agricultural households in every census block. The result will be in the form of lists that distinguish between agricultural and non-agricultural households. In operation, the census was supported by 246,412 enumerators and team coordinators.

(b) Strategy There were two methods of enumeration, door to door and snowball. Door to door was conducting visit to all households both listed and unlisted in the block census. Area coverage of this method was rural villages and urban villages with the majority of agricultural business (in district) and the areas with the majority of agricultural business (in municipality). Meanwhile, the snowball method was carried out in urban villages with the majority of agricultural business (in district) and urban areas with the majority of nonagricultural business (in municipality). Through the enumeration, it was founded there are 26,135,469 agricultural households.

Mode of data collection

Face-to-face [f2f]

Research instrument

1. The listing of households engaged in the agricultural sector was conducted using the ST2013-P form ("door-to-door" and "snowball").

2. The census questionnaire used the ST2013-L form.

3. Other specific questionnaires were used for collecting information in subsequent surveys as part of the CA 2013 programme:

(i) the Agricultural Household Income Survey, in 2013 (ST2013-SPP.S form) (ii) the Agricultural Households Sub-sector Survey, in 2014 (iii) the Survey of Forestry Households in 2014 (ST2013-SKH form)

The CA 2013 questionnaire covered all 16 core items recommended for the WCA 2010 round, namely;

0001 Identification and location of agricultural holding 0002+ Legal status of agricultural holder 0003 Sex of agricultural holder 0004 Age of agricultural holder 0005 Household size 0006 Main purpose of production of the holding 0007 Area of holding according to land use types 0008 Total area of holding 0009 Land tenure types on the holding 0010 Presence of irrigation on the holding 0011 Types of temporary crops on the holding 0012 Types of permanent crops on the holding and whether in compact plantation 0013 Number of animals on the holding for each livestock type 0014 Presence of aquaculture on the holding 0015+ Presence of forest and other wooded land on the holding 0016 Other economic production activities of the holding's enterprise

See questionnaire in external materials tab

Cleaning operations

(a) Data Processing Data processing of The 2013 Agricultural Census is a follow-up activity after the enumeration. This activity will produce the intended data in accurate and timely manner. It doing the data processing, it was supported by data capture technologies by scanner machine in all provinces and district/municipalities from June to December 2013. The stages of the data processing were as follows:

1. Pre-computer processing:
2. Document receiving
3. Document batching

4. Editing and coding

5. Computer processing:

6. Data scanning

7. Data tabulation

All data processing used a particular network system in processing center. This network system was made for the census data processing purposes only. It was separated from local and other networking, so it can prevent the large data traffic that could slow down the data processing.

Sampling error estimates

(nonsampling error). Errors made by the enumerators might be in the forms of coverage error (either under-coverage or over-coverage), and content error. Error in completing the questionnaire were mostly derived from the respondents which was called response error.

Data appraisal

PES was conducted immediately after the completion of the data collection process and independently from the census enumeration. This survey sought to determine the level of coverage accuracy, the level of content accuracy in the implementation of the CA 2013, and to facilitate the use of census data by giving deeper insights on the quality and limitations of census data

Graph and download economic data for Housing Inventory Estimate: Vacant Housing Units Held Off the Market and for Occasional Use in the Midwest Census Region (EOCCUSEMWQ176N) from Q2 2000 to Q1 2025 about Midwest Census Region, vacancy, inventories, housing, and USA.

About this dataset

Context

The dataset presents the distribution of median household income among distinct age brackets of householders in Big Run. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varies among householders of different ages in Big Run. It showcases how household incomes typically rise as the head of the household gets older. The dataset can be utilized to gain insights into age-based household income trends and explore the variations in incomes across households.

Key observations: Insights from 2023

In terms of income distribution across age cohorts, in Big Run, the median household income stands at $77,500 for householders within the 45 to 64 years age group, followed by $54,028 for the 25 to 44 years age group. Notably, householders within the 65 years and over age group, had the lowest median household income at $35,313.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Age groups classifications include:

• Under 25 years
• 25 to 44 years
• 45 to 64 years
• 65 years and over

Variables / Data Columns

• Age Of The Head Of Household: This column presents the age of the head of household
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific age group

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Big Run median household income by age. You can refer the same here

About this dataset

Context

The dataset tabulates the Coal Run Village population by age. The dataset can be utilized to understand the age distribution and demographics of Coal Run Village.

Content

The dataset constitues the following three datasets

• Coal Run Village, KY Age Group Population Dataset: A complete breakdown of Coal Run Village age demographics from 0 to 85 years, distributed across 18 age groups
• Coal Run Village, KY Age Cohorts Dataset: Children, Working Adults, and Seniors in Coal Run Village - Population and Percentage Analysis
• Coal Run Village, KY Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

About this dataset

Context

The dataset presents a breakdown of households across various income brackets in Coal Run Village, KY, as reported by the U.S. Census Bureau. The Census Bureau classifies households into different categories, including total households, family households, and non-family households. Our analysis of U.S. Census Bureau American Community Survey data for Coal Run Village, KY reveals how household income distribution varies among these categories. The dataset highlights the variation in number of households with income, offering valuable insights into the distribution of Coal Run Village households based on income levels.

Key observations

• For Family Households: In Coal Run Village, the majority of family households, representing 12.96%, earn $60,000 to $74,999, showcasing a substantial share of the community families falling within this income bracket. Conversely, the minority of family households, comprising 0.73%, have incomes falling $45,000 to $49,999, representing a smaller but still significant segment of the community.
• For Non-Family Households: In Coal Run Village, the majority of non-family households, accounting for 20.0%, have income $20,000 to $24,999, indicating that a substantial portion of non-family households falls within this income bracket. On the other hand, the minority of non-family households, comprising 0.0%, earn $45,000 to $49,999, representing a smaller, yet notable, portion of non-family households in the community.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Income Levels:

• Less than $10,000
• $10,000 to $14,999
• $15,000 to $19,999
• $20,000 to $24,999
• $25,000 to $29,999
• $30,000 to $34,999
• $35,000 to $39,999
• $40,000 to $44,999
• $45,000 to $49,999
• $50,000 to $59,999
• $60,000 to $74,999
• $75,000 to $99,999
• $125,000 to $149,999
• $150,000 to $199,999
• $200,000 or more

Variables / Data Columns

• Income Level: The income level represents the income brackets ranging from Less than $10,000 to $200,000 or more in Coal Run Village, KY (As mentioned above).
• All Households: Count of households for the specified income level
• % All Households: Percentage of households at the specified income level relative to the total households in Coal Run Village, KY
• Family Households: Count of family households for the specified income level
• % Family Households: Percentage of family households at the specified income level relative to the total family households in Coal Run Village, KY
• Non-Family Households: Count of non-family households for the specified income level
• % Non-Family Households: Percentage of non-family households at the specified income level relative to the total non-family households in Coal Run Village, KY

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Coal Run Village median household income. You can refer the same here

About this dataset

Context

The dataset tabulates the Hazel Run population by age. The dataset can be utilized to understand the age distribution and demographics of Hazel Run.

Content

The dataset constitues the following three datasets

• Hazel Run, MN Age Group Population Dataset: A complete breakdown of Hazel Run age demographics from 0 to 85 years, distributed across 18 age groups
• Hazel Run, MN Age Cohorts Dataset: Children, Working Adults, and Seniors in Hazel Run - Population and Percentage Analysis
• Hazel Run, MN Population Pyramid Dataset: Age Groups, Male and Female Population, and Total Population for Demographics Analysis

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

About this dataset

Context

The dataset presents median income data over a decade or more for males and females categorized by Total, Full-Time Year-Round (FT), and Part-Time (PT) employment in North Johns. It showcases annual income, providing insights into gender-specific income distributions and the disparities between full-time and part-time work. The dataset can be utilized to gain insights into gender-based pay disparity trends and explore the variations in income for male and female individuals.

Key observations: Insights from 2023

Based on our analysis ACS 2019-2023 5-Year Estimates, we present the following observations: - All workers, aged 15 years and older: In North Johns, while the Census reported a median income of $46,063 for all male workers aged 15 years and older, data for females in the same category was unavailable due to an insufficient number of sample observations.

Given the absence of income data for females from the Census Bureau, conducting a thorough analysis of gender-based pay disparity in the town of North Johns was not possible.

As there was no available median income data for females, conducting a comprehensive assessment of gender-based pay disparity in North Johns was not feasible.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2023-inflation-adjusted dollars.

Gender classifications include:

• Male
• Female

Employment type classifications include:

• Full-time, year-round: A full-time, year-round worker is a person who worked full time (35 or more hours per week) and 50 or more weeks during the previous calendar year.
• Part-time: A part-time worker is a person who worked less than 35 hours per week during the previous calendar year.

Variables / Data Columns

• Year: This column presents the data year. Expected values are 2010 to 2023
• Male Total Income: Annual median income, for males regardless of work hours
• Male FT Income: Annual median income, for males working full time, year-round
• Male PT Income: Annual median income, for males working part time
• Female Total Income: Annual median income, for females regardless of work hours
• Female FT Income: Annual median income, for females working full time, year-round
• Female PT Income: Annual median income, for females working part time

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for North Johns median household income by race. You can refer the same here

About this dataset

Context

The dataset tabulates the Bermuda Run population by gender and age. The dataset can be utilized to understand the gender distribution and demographics of Bermuda Run.

Content

The dataset constitues the following two datasets across these two themes

• Bermuda Run, NC Population Breakdown by Gender
• Bermuda Run, NC Population Breakdown by Gender and Age

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.