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PDF 01062_Stormarn_GWZ_Zensus2011.pdf
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The 2011 Census took place on 27 March 2011. The Census takes place every 10 years and is used to collect information from households which are then turned into statistics about the population The Census contains data about the population by gender and age band, ethnicity, religion, country of birth and language spoken. There is also data about migration, and economic and educational activity at a range of different geographical levels. You can see the results for the Bradford district on our Understanding Bradford District website. You can also find our analysis of the figures and other supporting information on the Understanding Bradford District website.
National livestock census results by district, UCA 2008
description: This is a report outlining the results of several trips in June of 1997 to various islands off the Coast of Maine.; abstract: This is a report outlining the results of several trips in June of 1997 to various islands off the Coast of Maine.
This report consists of the 2015 population and housing census results, contained detailed and disaggregated information on demographic and socio-economic characteristics of the country’s population and households at national and provincial levels.
The final result of the Census of Agriculture Cambodia (CAC) 2023 is the country’s second national agriculture census to be conducted after the first CAC in 2013. The CAC provides key statistics on households engaged in agriculture and other essential data. The CAC 2023 is the main data source for the agriculture frame and assessment of agricultural productivity in Cambodia.
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The Census of Population and Housing is a form of national stocktaking which provides a complete count of the population and living quarters. It is one of the oldest and most reliable sources of information about the count, characteristics, composition, and condition of the population in a country.
The Census covers a wide spectrum of variables including the size of the population, age structure, citizenships and nationalities, educational attainment, economic activity, disability, housing, and household amenities as well as other major socio-economic characteristics.
Census results influence a number of aspects of Maltese life: public policymaking; options and decisions of families and households; choices made by the elderly; initiatives and investments by the business sector and streams of research and development.
For the first time, the enumeration process during the 2021 Census of Population and Housing, included geocoding of all dwellings at a single point reference to study Census results mapped to a 1 square kilometre grid. This allowed the compilation of grid data, being the first-ever geospatial census results issued by the National Statistics Office (NSO).
The general population census of Cambodia of 2019 was conducted, as planned, by the National Institute of Statistics. This census is the fourth in a series of national censuses, preceded by those of 1962, 1998 and 2008. The census was undertaken from 3rd to 13th March 2019. This report presents the final results that the National Institute of Statistics has produced. The core theme of this report is the analysis of recent population growth and dynamics. The report discusses population size, as well as trends in fertility, mortality, migration and disability. It also includes a brief discussion of broader cross-cutting issues, such as literacy and education, economic activity and household characteristic and amenities.
Census Results Cuenca 2001
This dataset falls under the category Planning & Policy Planning.
It contains the following data: Census results Cuenca 2001
This dataset was scouted on 2022-09-20 as part of a data sourcing project conducted by TUMI. License information might be outdated: Check original source for current licensing.
The data can be accessed using the following URL / API Endpoint: https://www.ecuadorencifras.gob.ec/documentos/web-inec/Bibliotecas/Fasciculos_Censales/Fasc_Cantonales/Azuay/Fasciculo_Cuenca.pdfSee URL for data access and license information.
National livestock census results by district, UCA 2008
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The dataset presents the distribution of resident households by family type, estimated using appropriate assumptions based on personal data. This distribution was applied to the reconstructed families that constitute an update based on the population trends of the Census results. Taking census results into account allows limiting the overestimation of the number of households affected by the registry, providing a more realistic picture. In the file the data are aggregated by distinguishing the heads of household by year, neighborhood, age class, gender, family type and number of members. Due to the calculation procedures, the estimates made at decentralisation zone level differ slightly from the aggregation of data by district. This dataset has been issued by the Municipality of Milan. The path to be used to find the original dataset on sisi.comune.milano.it is: sisi.comune.milano.it - Demographic estimates and population projections - Estimated families - Time series for NIL
This document contains general information of Cambodia's population census for 2008 with figures at a glance.
The objective of the Population and housing census 2000 is to provide comprehensive and basic statistical data required to study changes in economic, social and demographic status of Mongolia for the last 11 years and its reasons and determinants, to plan economic and social development of the first years of next century and formulate state policies to implement such planned measures and make researches and analysis. As well as, it would be collected compiled new data required to assess a process of first stage of implementation and elaborate for the “Population Development Policy of Mongolia”, which approved by the parliament.
The advantage of census conducting is to be provided comprehensive information for summarizing and evaluating states of population growth, migration, settlement, education, employment, housing condition and behavior of the population groups processed and disaggregated by all administrative units compared with other population data sources. Moreover, census is significant to provide accurate data to international partners at the present time, which Mongolian foreign relations have expanding and collaboration with international organization has becoming more close. The census would be crucial for revision of accuracy and reality of annual population statistics.
All aimags, soums, districts, bags, horoos and capital city.
a.Population census
The census shall be covered the persons as followed:
b.Housing census
The following types of living quarters shall be covered in the housing census: - House - Apartment - Students dormitory - Public dormitory - Other public apartment - Non-living quarters - All types of gers
Another important concept for the measurement of coverage related to the timing of the census. While the enumeration covered the seven-day period from 5-11 January 2000, it is important for the interpretation of the data that the census results relate to a more precise point in time. The night of 4th January 2000 was designated as census night. Generally, this concept of a fixed census night did not cause problems for respondents or enumerators. However, in the few cases where location on census night did introduce difficulty, where, for example, the respondent traveled during census night, the more precise time reference of midnight on census night was introduced.
Census/enumeration data [cen]
None sampled.
None reported
Face-to-face [f2f]
The design of the population and housing questionnaire is fundamental to the census. A housing census was also conducted in which questions were posed that covered conventional and traditional housing (gers) and household characteristics. While most of the questions asked about conventional housing followed international recommendations, the questions about gers clearly reflected the uniqueness of the Mongolian culture. Population and housing census 2000 questionnaire included: 1 Social and demographic characteristics - Name - Relation to household head - Date of birth - Age - Sex - Marital status - Citizenship - Ethnicity 2 Geographical and migration characteristics - Residential status - Duration of residence - Place of birth - Place of residence five years ago 3 Educational characteristics - Educational level - Literacy - School attendance 4 Economic characteristics - Activity status - Occupation - Industry - Employment status - Unemployment
Questionnaire and Population and Housing Census 2000_ Enumerator_Manual are provided as external resources.
During the early planning stages it was clear that the existing hardware and peripherals in NSO were not sufficient to enable it to process a modern census. However, with the financial assistance of UNFPA, under the MON/97/P10 project, “Strengthening the Capacity of the National Statistical Office in Data Processing, Analysis and Dissemination”, and the MON/97/P04 project, “Strengthening the Population and Reproductive Health Database for Mongolia”, NSO was provided with new equipment, components and software. It was thus able to establish the basis for strengthening the technical capacity required for the 2000 census. The NSO purchased a range of equipment including 38 Compaq computers, two ACER server computers and other equipment.
On the software side, the NSO decided to process the census using IMPS (Integrated Microcomputer Processing System). Apart from the use of IMPS, the NSO developed other census applications, for example, using the CLIPPER and VISUAL BASIC languages. A special application to speed coding named SEARCH was also developed. Data entry was designed for LAN using a Windows NT Server V4.0 as the control center. The system facilitated data processing, restricting archiving and control functions to the server. Daily progress reports were also provided as part of the Data Control System. Editing was completed in two stages. In the first stage records were edited manually and in the second they were automatically edited using the editing module of the IMPS package, Concor. The BPCS staff monitored editing work. All editing was completed by 15 October 2000.
None reported
None reported
None reported
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This data is sourced from the Census 2011 and shows the population and population density by council area. Raw data sourced from http://www.scotlandscensus.gov.uk/en/censusresults/downloadablefiles.html and then manipulated in excel to merge a number of tables. The resulting data was joined to a shapefile of Scottish Council areas from sharegeo (http://www.sharegeo.ac.uk/handle/10672/305). Both sources should be attributed as the sources of the base data. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2012-12-19 and migrated to Edinburgh DataShare on 2017-02-21.
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The purpose of the San Mateo County Homeless Census and Survey is to gather and analyze information to help us understand who is homeless in our community, why they are homeless and what interventions they need to end their homelessness. This data forms the basis for effective planning to solve this complex and longstanding problem. The San Mateo County Human Services Agency’s Center on Homelessness the San Mateo County Continuum of Care Steering Committee were responsible for overseeing this data collection effort, with assistance from a broad group of community partners, including non-profit social service providers, city and town governments, and homeless and formerly homeless individuals. The Census and Survey was designed to meet two related sets of data needs. The first is the requirement of the U.S. Department of Housing and Urban Development (HUD) that communities applying for McKinney-Vento Homelessness Assistance funds (also known as Continuum of Care or “CoC” funds) must conduct a point-in-time count of homeless people a minimum of every two years. These counts are required to take place in the last ten days of January.
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This dataset provides a final result census of the population in the Kingdom of Cambodia in 2019, which shows the total population, total population of males and females, total households, household size, density and areas by provinces in the Kingdom of Cambodia. This dataset is extracted from a section of original document of General population census of the Kingdom of Cambodia 2019 national report on final census results by the National Institute of Statistics of the Ministry of Planning.
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The dataset includes census results of greater white-fronted goose (Anser albifrons), greylag goose (Anser anser), red-breasted goose (Branta ruficollis), whooper swan (Cygnus cygnus) and tundra swan (Cygnus columbianus bewickii) on the territory of the Ukrainian Danube region during the period of migration and wintering in 2011-2019.
The City of Calgary has been conducting the annual Civic Census since 1958. View the citywide and ward-level counts of dwelling units and residents over the past 60 years.
The purpose of the census was to provide demographic and socio-economic statistics in Uganda. The long term objective of the 2002 census was to maintain approximate decennial censuses and ensure availability of time series population benchmark statistical information at various administrative levels for the development of a coordinated and integrated data collection system in the country.The enumeration covered all persons resident in Uganda on the census night. Special arrangements were made to enumerate institutional, homeless, hotel and mobile populations. The census collected data on the demographic and socio-economic characteristics of the population; household and housing conditions, agriculture, activities of micro and small enterprises and the community characteristics.
The main purpose of the Agricultural module was to provide appropriate sampling frames for a detailed Census of Agriculture in 2003, and a Census of Livestock in 2004. There was evidence of deliberate falsification of data from Kotido District. Therefore the analysis excludes data for Kotido District.
The immediate objectives of the census were: - To create/update census field maps and lists of EAs for the control of the 2002 census and construction of efficient area sampling frames; - Effectively complete conducting a Population and Housing census with an Agricultural and Livestock module; - To generate basic demographic and socio-economic data from the 2002 census disaggregated by sex, age and administrative areas; - To compile agricultural and livestock sampling frames to be used in the subsequent sample surveys of these components; - To evaluate, analyze and disseminate the census results at all administrative levels.
The census covered the whole country.
The census covered all the household members, all persons aged 5 years and above resident in the houseold, all persons aged 10 years and above resident in the household and all women aged 12 to 54 years resident in the household.
Census/enumeration data [cen]
Face-to-face [f2f]
The questionnaires for the 2002 Uganda Population and Housing Census were based on 1991 Census model with some modifications and additions. A household questionnaire was administered in each household, which collected various information on household members including sex, age, disability, religion, date of birth and orphanhood status. The household questionnaire also included the agricultural and micro and small enterprises modules. In addition to a household questionnaire, questionnaires were administered in each household for women aged 12-54, all persons aged 5 years and above, and also all persons aged 10 years and above.
Preliminary editing was carried out to identify, investigate and resolve inconsistencies resulting from possible data entry and / or coding errors. After completion of the preliminary editing, the edited data was subjected to the edit programmes in two phases. The first run was to undertake structural edits which in turn was ensuring that the entries were logical. The second run of the programme was aimed at ensuring completeness of content and as a result, missing values had to be imputed following logic embedded in the computer programs according to the editing specifications or rules established.
A series of data quality tables are available to review the quality of the data and include the following: - Estimation of Population in an Area - Distribution of Households and Primary Sampling Units among strata - Age Tolerance limits used in matching individuals - Distribution of missing EAs during matching by strata - Distribution of EAs among strata - Un-weighted Number of matched and non-matched cases - Estimates of the Coverage rates - Population Estimates - Rate of Agreement by characteristics, residence and Region - Net Difference rate and Index of Inconsistency by characteristics - A list of PES indicators selected for computation of sampling errors - Reliability of Estimates Based on Selected Indicators at National Level - Reliability of Estimates Based on Selected Indicators For Urban Areas - Reliability of estimates Based on Selected indicators for rural Areas by Regions
The results of each of these data quality tables are shown in the appendix of the final report and are also given in the external resources section
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Total usually resident population by place of usual residence, sex, current activity status (number of employed persons), country/place of birth and place of usual residence one year prior to the census of the 2021 population and housing census results geocoded to a 1 km2 European grid. Data aggregation of 13 indicators for 6 topics (total population, sex (male, female), age (under 15 years, 15 – 64 years, 65 years and over), current activity status (employed), country of birth (reporting country, other Memberstate, elsewhere), place of usual residence one year prior to the census (usual residence unchanged, move within reporting country, move from the outside of the reporting country)) was done. The data tables are made as SDMX compliant (based on SDMX GRID DSDs). ‘Geographic Information System’ (GIS) software performed the following steps: 1. Given (national) coordinates were transformed into the required EU grid reference frame. 2. The corresponding 1 km² grid cell in which the transformed coordinates lie was identified. 3. The respective grid cell code was allocated to the microdata record in question. Data aggregation was made on estimated individual data based on registers. The difference between the Latvian 1km2 network and the European 1km2 network is that they are located at a different angle to each other.
Data licence Germany – Attribution – Version 2.0https://www.govdata.de/dl-de/by-2-0
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PDF 01062_Stormarn_GWZ_Zensus2011.pdf