These are the files, results, model and source code for the OCCODE project. They include:The results from running the occupational column from the full county 1950 Norwegian census through the OCCODE pipeline.An overview of the coding system used by Statistics Norway to encode the occupations of the 1950 Norwegian full count census.This overview was created by Statistics Norway, and the original can be found here: https://www.ssb.no/a/folketellinger/The model trained on the Random sample dataset.Previous results from running the occupational column from the full county 1950 Norwegian census through the OCCODE pipeline.Note that these results are worse than the current ones, found in RandomSample_total_confidence_scores.csvThe source code for the OCCODE pipeline as of 2021.05.11

Abstract

The Cross Country Mean Firm Size data was created by Andrew Kerr of the University of Cape Town as part of a project entitled “Firm size and Economic Growth in sub-Saharan Africa”, which was funded by the Structural Transformation and Economic Growth (STEG) initiative. The data covers 198 countries from 1950 to 2022 and is created from several sources. These include IPUMS population census microdata from IPUMS, United Nations Statistics Division (UNSD) aggregated population census data, aggregated household survey data from the International Labour Organization (ILO), replication data from papers by Bento and Restuccia (2017) and Poschke (2018), microdata from the World Bank Enterprise Surveys (WBES) and GDP per capita information from the Penn World Table.

Kind of data

Other

Mode of data collection

Other

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.

American Samoa is one of the territories collectively referred as the "US Outlying areas". The 2008 American Samoa Census of Agriculture was conducted by personal interviews of all farm operations on the list of commercial farms, and supplemented by an area sample of the remaining households. The purpose of the area sample was to efficiently accountfor farms not on the commercialfarmlist and provide an accurate measure of the agricultural activity in American Samoa.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit for the CA 2008 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 2008.

ii. sample design The design of the sample for the 2008 Census of Agriculture made use of materials and information available from the American Samoa Department of Commerce. These included detailed maps of all the islands in the territory, up-to-date map-spotting (location on a map) of all households in the territory, a system of numbering each household to provide it a unique identifier, and identification of householdswhich were on the list of commercial farms. The households that were on the list of commercial farms were excluded from the universe used to select the area sample. A random sample of the remaining households was selected, using the available maps with the household identification information. It was determined that a 20 percent sample would be optimal. A serpentine selection methodology, starting at a point determined by the generation of a random number, was used to select the area sample.

Mode of data collection

Face-to-face paper [f2f]

Research instrument

One questionnaire was used which collected information on:

• Land owned
• Field crops
• Fruit
• Root crops
• Cattle and calves
• Poultry
• Aquaculture
• Expenditure
• Production expenses
• Machinery, equipment and buildings
• Household characteristics

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 2008 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.

Abstract

The Farm Structure Survey (FSS) is a survey of national interest, which is carried out both as a sample survey and as a census, in order to collect objective quantitative information relating to the structure of the farming sector. Every ten years an exhaustive survey (Basic FSS or Agricultural Census) is carried out. The first Agricultural Census was conducted in 1950, after the Second World War. Since 1950 five censuses of agriculture and livestock farming have been held, in 1961,1971,1981,1991 and 1999/2000. From 1961 to 1991 censuses were conducted simultaneously with the General Population and Housing Census. The Agricultural Census of 1991 was the last census carried out at the same time with the General Censuses for Population, Households etc. The Agricultural Censuses of 1999/2000 and 2009/2010 were carried out before the General Population Censuses of 2001 and 2011, respectively.

Objective: The purpose of FSS is to determine the basic structural features of the agricultural and livestock holdings, which encapsulate the agricultural picture of Greece at the specific time. The developments of the agricultural holdings’ structure constitute the main element for the National and Community policy drawing up in the Agricultural Sector. Therefore, the collection of objective and reliable data is absolutely necessary in order to draw up time series tables concerning the holdings’ characteristics.

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical unit is the agricultural holding, defined as a single unit, both technically and economically, which has a single management and which undertakes agricultural activities listed in Annex I to the European Parliament and Council Regulation (EC) No. 1166/2008 within the economic territory of the EU, as either its primary or its secondary activity. In addition, Communal Departments (local administrative units - LAU 2) were included in the AC to provide data regarding the area of common permanent grassland (using a specific questionnaire).

Kind of data

Census/enumeration data [cen]

Sampling procedure

a. Frame The basic farm register (BFR) used for the AC was based on the register from the 1999 census, updated using the FSS surveys of 2003, 2005 and 2007 and the annual agricultural surveys. The BFR was also updated using two registers of the Ministry of Rural Development and Food (on New Farmers and Organic Farming).The total number of the sampling frame accounts to 843.007 holdings (816.357 holdings from the basic Register of ELSTAT and 26.650 holdings from the Registers of the Greek Ministry of Rural Development and Food) for the agricultural census and 59.967 for the SAMP survey. ELSTAT made use of the registers of the Ministry of Rural Development and Food only concerning the New Farmers and Organic Farming and it compared those registers with the register of ELSTAT. Afterwards, the data of the registers were compared and crosschecked on the basis of the identification data of holder. However, there were some cases where the registers of the Ministry were not complete and some of the data were missing, such as the date of birth, the tax registration number, etc. Cases that could not be matched with ELSTAT’s farm register were kept separately in two temporary file-registers. During the conduct of the agricultural-livestock census, these temporary file-registers were made available to the interviewers together with the basic register.

b. Complete and/or sample enumeration methods The AC 2010 was carried out based on a complete enumeration basis.

Mode of data collection

Face-to-face [f2f]

Research instrument

Two questionnaires were used in the AC, to collect: (i) individual census data from the agricultural holdings and (ii) data on common land from Communal Departments.

One questionnaire was used for the SAPM. The AC and SAPM questionnaires covered all 16 core items recommended in the WCA 2010.

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

Cleaning operations

a. DATA PROCESSING AND ARCHIVING The data entry was done almost exclusively using OCR and only in some special cases, where it was not possible to scan the questionnaires, were the data entered manually into the database. The hot deck approach was used for data imputation. The auxiliary variables, used to define the imputation classes for holdings were municipality/commune, type of farming, and economic size. The data processing was carried out in the period from November 2010 to March 2012.

b. CENSUS DATA QUALITY Follow-up interviews were conducted in cases where missing or incorrect data were detected. In most cases, these were done by telephone. The census data were validated against the data from previous FSSs, as well as from other agricultural surveys, and some administrative data sources.

Data appraisal

The final results of the AC, at national level, were available in November-December 2012 in the form of detailed tables. A publication presenting the results of the AC was prepared in September 2013, in electronic and printed formats. The publication is available on the ELSTAT website (only in Greek).

Demographic Data for Boston’s Neighborhoods, 1950-2019

Boston is a city defined by the unique character of its many neighborhoods. The historical tables created by the BPDA Research Division from U.S. Census Decennial data describe demographic changes in Boston’s neighborhoods from 1950 through 2010 using consistent tract-based geographies. For more analysis of these data, please see Historical Trends in Boston's Neighborhoods. The most recent available neighborhood demographic data come from the 5-year American Community Survey (ACS). The ACS tables also present demographic data for Census-tract approximations of Boston’s neighborhoods. For pdf versions of the data presented here plus earlier versions of the analysis, please see Boston in Context.

Graph and download economic data for Homeownership Rate in the United States (RHORUSQ156N) from Q1 1965 to Q1 2025 about homeownership, housing, rate, and USA.

Total current population for Nigeria in 2025 is 234,573,603, a 2.37% increase from 2024.

<ul style='margin-top:20px;'>

<li>Total population for Nigeria in 2024 was <strong>229,152,217</strong>, a <strong>0.56% increase</strong> from 2023.</li>
<li>Total population for Nigeria in 2023 was <strong>227,882,945</strong>, a <strong>2.12% increase</strong> from 2022.</li>
<li>Total population for Nigeria in 2022 was <strong>223,150,896</strong>, a <strong>2.11% increase</strong> from 2021.</li>
</ul>Total population is based on the de facto definition of population, which counts all residents regardless of legal status or citizenship. The values shown are midyear estimates.

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

Graph and download economic data for Real Median Family Income in the United States (MEFAINUSA672N) from 1953 to 2023 about family, median, income, real, and USA.

The total population in Japan was estimated at 123.6 million people in 2024, according to the latest census figures and projections from Trading Economics. This dataset provides - Japan Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

The total population in China was estimated at 1409.7 million people in 2023, according to the latest census figures and projections from Trading Economics. This dataset provides - China Population - actual values, historical data, forecast, chart, statistics, economic calendar and news.

Graph and download economic data for Resident Population in Florida (FLPOP) from 1900 to 2024 about residents, FL, population, and USA.

As of July 2024, Nigeria's population was estimated at around 229.5 million. Between 1965 and 2024, the number of people living in Nigeria increased at an average rate of over two percent. In 2024, the population grew by 2.42 percent compared to the previous year. Nigeria is the most populous country in Africa. By extension, the African continent records the highest growth rate in the world. Africa's most populous country Nigeria was the most populous country in Africa as of 2023. As of 2022, Lagos held the distinction of being Nigeria's biggest urban center, a status it also retained as the largest city across all of sub-Saharan Africa. The city boasted an excess of 17.5 million residents. Notably, Lagos assumed the pivotal roles of the nation's primary financial hub, cultural epicenter, and educational nucleus. Furthermore, Lagos was one of the largest urban agglomerations in the world. Nigeria's youthful population In Nigeria, a significant 50 percent of the populace is under the age of 19. The most prominent age bracket is constituted by those up to four years old: comprising 8.3 percent of men and eight percent of women as of 2021. Nigeria boasts one of the world's most youthful populations. On a broader scale, both within Africa and internationally, Niger maintains the lowest median age record. Nigeria secures the 20th position in global rankings. Furthermore, the life expectancy in Nigeria is an average of 62 years old. However, this is different between men and women. The main causes of death have been neonatal disorders, malaria, and diarrheal diseases.

The average American family in 2023 consisted of 3.15 persons. Families in the United States According to the U.S. Census Bureau, a family is a group of two people or more (one of whom is the householder) related by birth, marriage, or adoption and residing together; all such people (including related subfamily members) are considered as members of one family. As of 2023, the U.S. Census Bureau counted about 84.33 million families in the United States. The average family consisted of 3.15 persons in 2021, down from 3.7 in the 1960s. This is reflected in the decrease of children in family households overall. In 1970, about 56 percent of all family households had children under the age of 18 living in the household. This percentage declined to about 40 percent in 2020. The average size of a family household varies greatly from state to state. The largest average families can be found in Utah, California, and Hawaii, while the smallest families can be found in Wisconsin, Vermont and Maine.

Abstract

The Thailand Agricultural Census had been earlier conducted five times: 1950, 1963, 1978, 1993 and 2003. The census aims to provide basic information on the fundamental structure of agriculture which will constitute the bases for which policymakers and planners will continuously formulate plans for development, monitoring, and evaluation related to agriculture. Under the Statistics Act 2007, the National Statistical Office (NSO) is mandated to carry out censuses of the country. The 2013 Agricultural Census was also undertaken in accordance with the recommendation of the Food and Agricultural Organization (FAO) for conducting agricultural census every 10 years. This census round had extended the scope of agricultural activity to include sea salt farm, as according to the Cabinet approval (1st March 2011), as well as to include questions on marine fishery and coastal aquaculture into the enumeration form.

Census objectives:

1) To collect basic information on the fundamental structure of agriculture, such as number of agricultural holdings and agricultural holding, freshwater aquaculture, sea salt farm, utilization of land, land tenure status, area under crops/sea salt farm/freshwater aquaculture, number of livestock, use of fertilizer, use of agricultural machinery, manpower involved in agricultural activities, etc.,

2) To provide those information at administrative units (village) for developing policy and plans in both national and sub-national level

3) To provide the basis for sampling frame for other surveys undertakings related to agriculture marine fishery and coastal aquaculture

4) To determine changes of basic information on agricultural structure over the past 10 years

Geographic coverage

National coverage

Analysis unit

Households

Universe

The statistical (enumeration) unit was the agricultural holding, defined as an economic unit of agricultural production (cultivating crops, rearing livestock) and aquaculture production, under single management, comprising all livestock kept and all land used wholly or partly for agricultural production purposes, performing an agricultural activity on owned agricultural land, or on land owned by other persons, or on public land, regardless of legal permission. The holding's land could consist of one or more parcels, located in one or more separate areas; however, the land had to be in the same province.

Kind of data

Census/enumeration data [cen]

Sampling procedure

A systematic sampling method was applied to draw the sample of agricultural holders from each EA. The sampling fraction in each EA was 1 in 4 (the sample comprised 25 percent of the total number of holdings). The selected agricultural holders were enumerated using the entire questionnaire.

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire for the Agricultural Census, 2013 in Thailand collected information on agricultural activity and legal status of household; holding area by land use; livestock production; rice production; rubber production; permanent crop and forest; vegetable crop, herb, flower and ornamental plants; field crop; seasalt farming; fresh water culture; machinery, vehicle and agricultural equipment; fertilizer and pesticide; employment of agricultural labour; charactersitics of holder and household members; education and agricultural group membership of household holder; agricultural income and debt.

The questionnaire is attached as additional resource in the documentations tab.

Cleaning operations

1. Data processing:

After the data collection stage, during which the census information was collected using electronic devices (tablets), and after initial checking during the fieldwork, the data were sent to the NSO server for further processing, to verify data consistency, accuracy and coverage. After final checking for correctness and completeness, the census data were further processed for statistics tabulations and summarized to report the census results at provincial, regional and country level.

1. Data quality checks

After the completion of census field work, NSO has carried out the Post Enumeration Survey (PES) in order to evaluate the quality of census data. The PES was conducted for all households of the selected enumeration areas throughout the country. The Stratified Single-Stage Sampling was applied to this PES. That is, there were four stratums referring to four regions – Central, North, Northeast and South and provinces in each region were represented as sub-stratum. Within each sub-stratum, the enumeration areas were systematically selected; the total samples were 1,280 enumeration areas. After the PES field operation, information between the census and the PES were processed for matching check. And then the process for investigation was to analyse and evaluate errors of the census coverage and the census content, for example the information on the agricultural activity engagement such as livestock, growing rice, planting para rubber, planting permanent crops and planting field crops, etc.

Chart and table of population level and growth rate for the Houston metro area from 1950 to 2025.

INDICATOR DEFINITION Count of all adult females, fully weaned pups and dead pups hauled out on, or close to, the day of maximum cow numbers, set for October 15.

TYPE OF INDICATOR There are three types of indicators used in this report: 1.Describes the CONDITION of important elements of a system; 2.Show the extent of the major PRESSURES exerted on a system; 3.Determine RESPONSES to either condition or changes in the condition of a system.

This indicator is one of: CONDITION

RATIONALE FOR INDICATOR SELECTION Elephant seals from Macquarie Island are long distance foragers who can utilise the Southern Ocean both west as far as Heard Island and east as far as the Ross Sea. Thus their populations reflect foraging conditions across a vast area.

The slow decline in their numbers (-2.3% annually from 1988-1993) suggests that their ocean foraging has been more difficult in recent decades. Furthermore, interactions with humans are negligible due to the absence of significant overlap in their diet with commercial fisheries. This suggests that changes in 'natural' ocean conditions may have altered aspects of prey availability. It is clear that seal numbers are changing in response to ocean conditions but at the moment these conditions cannot be specified.

DESIGN AND STRATEGY FOR INDICATOR MONITORING PROGRAM Spatial Scale: Five beaches on Macquarie Island (lat54 degrees 37' 59.9' S, long 158 degrees 52' 59.9' E): North Head to Aurora Point; Aurora Point to Caroline Cove; Garden Cove to Sandy Bay; Sandy Bay to Waterfall Bay; Waterfall Bay to Hurd Point.

Frequency: Annual census on 15th October

Measurement Technique: Monitoring the Southern Elephant Seal population on Macquarie island requires a one day whole island adult female census on October 15 and a daily count of cow numbers, fully weaned pups and dead pups on the west and east isthmus beaches throughout October.

Daily cow counts during October, along the isthmus beaches close to the Station, provide data to identify exactly the day of maximum numbers. The isthmus counts are recorded under the long-established (since 1950) harem names. Daily counts allow adjustment to the census totals if the day of maximum numbers of cows ashore happens to fall on either side of October 15. Personnel need to be dispersed around the island by October 15 so that all beaches are counted for seals on that day. This has been achieved successfully for the last 15 years.

On the day of maximum haul out (around 15th October) the only Elephant seals present are cows, their young pups and adult males. The three classes can be readily distinguished and counted accurately. Lactating pups are not counted, their numbers are provided by the cow count on a 1:1 proportion. The combined count of cows, fully weaned pups and dead pups provides an index of pup production.

The count of any group is made until there is agreement between counts to better than +/- 5%. Thus there is always a double count as a minimum; the number of counts can reach double figures when a large group is enumerated. The largest single group on Macquarie Island is that at West Razorback with greater than 1,000 cows; Multiple counts are always required there.

RESEARCH ISSUES Much research has been done already to acquire demographic data so that population models can be produced. Thus there will be predicted population sizes for elephant seals on Macquarie Island in 2002 onwards and the annual censuses will allow these predictions to be tested against the actual numbers. The censuses are also a check on the population status of this endangered species.

LINKS TO OTHER INDICATORS

India birth rate for 2025 is 16.55, a 1.19% decline from 2024.

<ul style='margin-top:20px;'>

<li>India birth rate for 2024 was <strong>16.75</strong>, a <strong>3.74% increase</strong> from 2023.</li>
<li>India birth rate for 2023 was <strong>16.15</strong>, a <strong>1.16% decline</strong> from 2022.</li>
<li>India birth rate for 2022 was <strong>16.34</strong>, a <strong>0.94% decline</strong> from 2021.</li>
</ul>Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.

The typical American picture of a family with 2.5 kids might not be as relevant as it once was: In 2023, there was an average of 1.94 children under 18 per family in the United States. This is a decrease from 2.33 children under 18 per family in 1960.

Familial structure in the United States

If there’s one thing the United States is known for, it’s diversity. Whether this is diversity in ethnicity, culture, or family structure, there is something for everyone in the U.S. Two-parent households in the U.S. are declining, and the number of families with no children are increasing. The number of families with children has stayed more or less constant since 2000.

Adoptions in the U.S.

Families in the U.S. don’t necessarily consist of parents and their own biological children. In 2021, around 35,940 children were adopted by married couples, and 13,307 children were adopted by single women.

Chart and table of population level and growth rate for the state of California from 1900 to 2024.