Census 2020 blocks with the Washington State Office of Financial Management Small Area Estimates Program (SAEP) estimates. Enhanced with City of Seattle council districts and growth management areas.PLEASE BE AWARE, the urban village and comprehensive plan area designations are subject to change annually.Estimates are annual April, 1 for the 2010-202X with the most current year added Q4 of that year.(SAEP) estimates are meant to provide a consistent set of small area population and housing data for statewide applications. SAEP estimates are generated by the Washington State Office of Financial Management for census areas and other areas of statewide significance.Before using the SAEP estimates, please see the SAEP User Guide to gain a better understanding of the data and methods behind the estimates as well as limitations in their use. For more specific information about the 2020 data release, please see the User Notes and Errata document.Please note that SAEP estimates are NOT the official state population estimates used for revenue distribution and program administration related to cities and counties. Users interested in city and county estimates should see the state's official April 1 population estimates program.

This web map shows the Boundaries of Tertiary Planning Units & Street Blocks / Village Clusters in Hong Kong for 2016 Population By-census. It is a set of data made available by the Planning Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://GEODATA.GOV.HK/ ("Hong Kong Geodata Store"). The source data is in JSON format and has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong Geodata Store at https://geodata.gov.hk/.

The data in the dataset come from the Estonian Statistical Database. Grid-based population data are updated once a year. Census data are georeferenced to building accuracy, which allows data to be aggregated to grid level of different resolution. The building's centroid was used as the basis for aggregating into squares. The data of several buildings within the square were linked to the square where the building's centroid was located. If the population data could not be linked to the building (the data were linked to the building by address and in some cases the address was not identifiable), the data were added in the middle of the village or census station. Counted homeless people are also associated with the village or precinct centre.

The 1 km x 1 km square map of the population covers the whole territory of Estonia, including only inhabited squares. Grid-based data serve as a basis for making competent decisions in the preparation of social plans and development plans, including regional development plans. Grid-based data are used in scientific research, in the private sector mainly to select the best location and to define the target group.

The 2015 to 2040 population projections for towns in the state of Connecticut were developed by the Connecticut State Data Center for planning, analysis, and to inform decision making. The projections are individual population projections for the resident population of each of Connecticut's 169 towns and were published on August 31, 2017. These projections supersede the 2012 edition of the population projections developed by the Connecticut State Data Center.

Administrative boundaries for all towns and villages with a population of more than 100 and with a recognised nucleus of village life, such as a school, local shop or public house, as defined in the South Ayrshire Local Development Plan. The boundaries defined include activities and land uses normally considered as being an integral element of these areas - (schools, shops, factories, houses and their gardens being prime examples of these). Great care has been taken in defining the boundaries of the settlements to allow for planned expansion whilst providing a clear distinction between what are areas of built/urban development (town) and what are areas of non-urban or rural development (country). All Planning policies applicable to towns are enforced within these settlement boundaries.

For town planning purpose, the whole territory of Hong Kong is divided into various Tertiary Planning Units (TPUs) in the Population Census / Population By-census. On the one hand, these TPUs are sub-divided into Subunits in 2021 Population Census (but divided into Street Blocks (SBs) or Village Clusters (VCs) in urban and rural areas respectively in 2001 Population Census; 2006 Population By-census; 2011 Population Census; and 2016 Population By-census). On the other hand, these TPUs are aggregated under 52 Secondary Planning Units (SPUs) at the next higher level (only 51 SPUs in 2001 Population Census). The SPUs are further grouped under nine Primary Planning Units (PPUs) at the highest level. Each of the TPU is identified by a unique three-digit number. The first digit of a TPU number identifies the PPU code while the first and second digits together correspond to the SPU code. In translating the boundaries of TPUs and Subunits or SBs/VCs for Population Census / Population By-census to digital format, reference has been made to different topographic maps, which may of various scales, prepared by Survey and Mapping Office, Lands Department available at the time of preparation. Since the geographical features on these maps may be updated from time to time, the boundaries of TPUs and Subunits or SBs/VCs may not tally with the latest situation. Users are responsible for making their own assessment of the obtained data and are advised to verify such information before acting on it. The multiple file formats are available for dataset download in API.

This layer shows the Boundaries of Tertiary Planning Units & Street Blocks / Village Clusters in Hong Kong for 2011 Population Census. It is a set of data made available by the Planning Department under the Government of Hong Kong Special Administrative Region (the "Government") at https://GEODATA.GOV.HK/ ("Hong Kong Geodata Store"). The source data is in JSON format and has been processed and converted into Esri File Geodatabase format and uploaded to Esri's ArcGIS Online platform for sharing and reference purpose. The objectives are to facilitate our Hong Kong ArcGIS Online users to use the data in a spatial ready format and save their data conversion effort.For details about the data, source format and terms of conditions of usage, please refer to the website of Hong Kong Geodata Store at https://geodata.gov.hk/.

Grid-based population data. Population census data are geo-referenced to the accuracy of the building, allowing data to be aggregated to different resolution grid levels. The squares were aggregated on the basis of the building’s centroid. The data of a building within several squares was linked to the square where the building’s centroid was located. If population data could not be linked to the building (data were linked to the building by address and in some cases the address was not identifiable), the data were added to the middle of the village or census station. Countless homeless people are also connected to the village or department centre. If the square is less than four inhabitants, then the total population of the square is marked “-4”. The 1 km x 1 km square map of the population covers the entire territory of Estonia only in populated squares. Grid-based data is the basis for the competent decision making in the preparation of social plans and development plans, including regional development plans. Grid-based data are used in scientific research, in the private sector mainly in choosing the best location and in defining the target group. The service has squares on two layers — both the L-EST97 cross-coordinate system and the ETRS89-LAEA coordinate system grids. Source of data: Statistics Office

Data collected and organized as input to the geospatial least-cost planning for universal electricity access by 2030 as part of the the project funded by World Bank for Myanmar National Electrification Plan (NEP).The dataset covers the demographic information with location and population of village settlements. The data collection was undertaken by the Sustainable Engineering Lab/Earth Institute from the following sources: MINISTRY OF AGRICULTURE, LIVESTOCK AND IRRIGATION DEPARTMENT OF RURAL DEVELOPMENT (DRD) GENERAL ADMINISTRATION DEPARTMENT (GAD) MYANMAR INFORMATION MANAGEMENT INSTITUTE(MIMU)

A synthetic population is a distribution of synthetic agents that replicates the demographic distribution of a real-world population according to census records.
This dataset contains a synthetic population of residents in the city of Gothenburg in Sweden, along with activity schedules and mobility patterns for 2019. The synthetic population model is designed for applications in neighbourhood planning and includes detailed replicas of people in different neighbourhoods of Gothenburg organized as persons, households, houses, buildings, and daily activity chains. While the persons, households, and houses are synthetic replicas, they are connected to existing buildings.
The model considers the allocation of primary and secondary locations based on a gravity model, realistic routing for active, public and private motorised modes of transportation and allows users to introduce new buildings and amenities if needed. The population data is provided as an SQLite3 database file for each neighbourhood of Gothenburg.

Abstract

The 1993 Turkish Demographic and Health Survey (TDHS) is a nationally representative survey of ever-married women less than 50 years old. The survey was designed to provide information on fertility levels and trends, infant and child mortality, family planning, and maternal and child health. The TDHS was conducted by the Hacettepe University Institute of Population Studies under a subcontract through an agreement between the General Directorate of Mother and Child Health and Family Planning, Ministry of Health and Macro International Inc. of Calverton, Maryland. Fieldwork was conducted from August to October 1993. Interviews were carried out in 8,619 households and with 6,519 women.

The Turkish Demographic and Health Survey (TDHS) is a national sample survey of ever-married women of reproductive ages, designed to collect data on fertility, marriage patterns, family planning, early age mortality, socioeconomic characteristics, breastfeeding, immunisation of children, treatment of children during episodes of illness, and nutritional status of women and children. The TDHS, as part of the international DHS project, is also the latest survey in a series of national-level population and health surveys in Turkey, which have been conducted by the Institute of Population Studies, Haeettepe University (HIPS).

More specifically, the objectives of the TDHS are to:

Collect data at the national level that will allow the calculation of demographic rates, particularly fertility and childhood mortality rates; Analyse the direct and indirect factors that determine levels and trends in fertility and childhood mortality; Measure the level of contraceptive knowledge and practice by method, region, and urban- rural residence; Collect data on mother and child health, including immunisations, prevalence and treatment of diarrhoea, acute respiratory infections among children under five, antenatal care, assistance at delivery, and breastfeeding; Measure the nutritional status of children under five and of their mothers using anthropometric measurements.

The TDHS information is intended to assist policy makers and administrators in evaluating existing programs and in designing new strategies for improving family planning and health services in Turkey.

MAIN RESULTS

Fertility in Turkey is continuing to decline. If Turkish women maintain current fertility rates during their reproductive years, they can expect to have all average of 2.7 children by the end of their reproductive years. The highest fertility rate is observed for the age group 20-24. There are marked regional differences in fertility rates, ranging from 4.4 children per woman in the East to 2.0 children per woman in the West. Fertility also varies widely by urban-rural residence and by education level. A woman living in rural areas will have almost one child more than a woman living in an urban area. Women who have no education have almost one child more than women who have a primary-level education and 2.5 children more than women with secondary-level education.

The first requirement of success ill family planning is the knowledge of family planning methods. Knowledge of any method is almost universal among Turkish women and almost all those who know a method also know the source of the method. Eighty percent of currently married women have used a method sometime in their life. One third of currently married women report ever using the IUD. Overall, 63 percent of currently married women are currently using a method. The majority of these women are modern method users (35 percent), but a very substantial proportion use traditional methods (28 percent). the IUD is the most commonly used modern method (I 9 percent), allowed by the condom (7 percent) and the pill (5 percent). Regional differences are substantial. The level of current use is 42 percent in tile East, 72 percent in tile West and more than 60 percent in tile other three regions. "File common complaints about tile methods are side effects and health concerns; these are especially prevalent for the pill and IUD.

One of the major child health indicators is immunisation coverage. Among children age 12-23 months, the coverage rates for BCG and the first two doses of DPT and polio were about 90 percent, with most of the children receiving those vaccines before age one. The results indicate that 65 percent of the children had received all vaccinations at some time before the survey. On a regional basis, coverage is significantly lower in the Eastern region (41 percent), followed by the Northern and Central regions (61 percent and 65 percent, respectively). Acute respiratory infections (ARI) and diarrhea are the two most prevalent diseases of children under age five in Turkey. In the two weeks preceding the survey, the prevalence of ARI was 12 percent and the prevalence of diarrhea was 25 percent for children under age five. Among children with diarrhea 56 percent were given more fluids than usual.

Breastfeeding in Turkey is widespread. Almost all Turkish children (95 percent) are breastfed for some period of time. The median duration of breastfeeding is 12 months, but supplementary foods and liquids are introduced at an early age. One-third of children are being given supplementary food as early as one month of age and by the age of 2-3 months, half of the children are already being given supplementary foods or liquids.

By age five, almost one-filth of children arc stunted (short for their age), compared to an international reference population. Stunting is more prevalent in rural areas, in the East, among children of mothers with little or no education, among children who are of higher birth order, and among those born less than 24 months after a prior birth. Overall, wasting is not a problem. Two percent of children are wasted (thin for their height), and I I percent of children under five are underweight for their age. The survey results show that obesity is d problem among mothers. According to Body Mass Index (BMI) calculations, 51 percent of mothers are overweight, of which 19 percent are obese.

Geographic coverage

The Turkish Demographic and Health Survey (TDHS) is a national sample survey.

Analysis unit

• Household
• Women age 12-49
• Children under five

Universe

The population covered by the 1993 DHS is defined as the universe of all ever-married women age 12-49 who were present in the household on the night before the interview were eligible for the survey.

Kind of data

Sample survey data

Sampling procedure

The sample for the TDHS was designed to provide estimates of population and health indicators, including fertility and mortality rates for the nation as a whole, fOr urban and rural areas, and for the five major regions of the country. A weighted, multistage, stratified cluster sampling approach was used in the selection of the TDHS sample.

Sample selection was undertaken in three stages. The sampling units at the first stage were settlements that differed in population size. The frame for the selection of the primary sampling units (PSUs) was prepared using the results of the 1990 Population Census. The urban frame included provinces and district centres and settlements with populations of more than 10,000; the rural frame included subdistricts and villages with populations of less than 10,000. Adjustments were made to consider the growth in some areas right up to survey time. In addition to the rural-urban and regional stratifications, settlements were classified in seven groups according to population size.

The second stage of selection involved the list of quarters (administrative divisions of varying size) for each urban settlement, provided by the State Institute of Statistics (SIS). Every selected quarter was subdivided according tothe number of divisions(approximately 100 households)assigned to it. In rural areas, a selected village was taken as a single quarter, and wherever necessary, it was divided into subdivisions of approximately 100 households. In cases where the number of households in a selected village was less than 100 households, the nearest village was selected to complete the 100 households during the listing activity, which is described below.

After the selection of the secondary sampling units (SSUs), a household listing was obtained for each by the TDHS listing teams. The listing activity was carried out in May and June. From the household lists, a systematic random sample of households was chosen for the TDHS. All ever-married women age 12-49 who were present in the household on the night before the interview were eligible for the survey.

Mode of data collection

Face-to-face

Research instrument

Two questionnaires were used in the main fieldwork for the TDHS: the Household Questionnaire and the Individual Questionnaire for ever-married women of reproductive age. The questionnaires were based on the model survey instruments developed in the DHS program and on the questionnaires that had been employed in previous Turkish population and health surveys. The questionnaires were adapted to obtain data needed for program planning in Turkey during consultations with population and health agencies. Both questionnaires were developed in English and translated into Turkish.

a) The Household Questionnaire was used to enumerate all usual members of and visitors to the selected households and to collect information relating to the socioeconomic position of the households. In the first part of the Household Questionnaire, basic information was collected on the age, sex, educational attainment, marital status and relationship to the head of household for each person listed as a household member

U.S. Census Bureau QuickFacts statistics for Wilton town, Western Connecticut Planning Region, Connecticut. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

U.S. Census Bureau QuickFacts statistics for Thomaston town, Naugatuck Valley Planning Region, Connecticut. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Data from: American Community Survey, 5-year Series 2006-2010

U.S. Census Bureau QuickFacts statistics for Litchfield town, Northwest Hills Planning Region, Connecticut. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Albig Development Plans:Population Plan -Village Trench- of the Municipality of Albig

U.S. Census Bureau QuickFacts statistics for North Haven town, South Central Connecticut Planning Region, Connecticut. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

Population is the sum of births plus in-migration, and it signifies the total market size possible in the area. This is an important metric for economic developers to measure their economic health and investment attraction. Businesses also use this as a metric for market size when evaluating startup, expansion or relocation decisions.

U.S. Census Bureau QuickFacts statistics for New London town, Southeastern Connecticut Planning Region, Connecticut. QuickFacts data are derived from: Population Estimates, American Community Survey, Census of Population and Housing, Current Population Survey, Small Area Health Insurance Estimates, Small Area Income and Poverty Estimates, State and County Housing Unit Estimates, County Business Patterns, Nonemployer Statistics, Economic Census, Survey of Business Owners, Building Permits.

The Working Group on Population Distribution Projections (WGPD) has completed the compilation of the projections of population distribution for 2021-2029, which adopted the latest Census and Statistics Department's projections of territorial population released in September 2020 as the control totals.

Forecast housing supply data adopted by the projections have taken into account all planning information of housing development proposals that were known up to the second quarter of 2020 and other assumptions.

The WGPD compiles projected distributions of population by District Council District (DCD), New Town, as well as Tertiary Planning Unit (TPU). In addition, the projected age structures of population in individual DCDs and New Towns are also compiled.

Please refer to the disclaimer before using results of the projections of population distribution 2021 - 2029.

More information about the background, projection method and geographical demarcation adopted in compiling and disseminating results of the projections of population distribution 2021 - 2029 are available in the report "Projections of Population Distribution 2021 - 2029".