Shapefile for 492 Coastal Zone Management Program (CZMP) counties and county equivalents, 2009, extracted from the U.S. Census Bureau's MAF/TIGER database of U.S. counties and cross-referenced to a list of CZMP counties published by the NOAA/NOS Office of Ocean and Coastal Resource Management (OCRM). Data extent to the nearest quarter degree is 141.00 E to 64.50 W longitude and 14.75 S to 71.50 N latitude. TL2009 in this document refers to metadata content inherited from the original U.S. Census Bureau (2009) TIGER/Line shapefile. TL2009: The TIGER/Line Shapefiles are an extract of selected geographic and cartographic information from the Census MAF/TIGER database. The Census MAF/TIGER database represents a seamless national file with no overlaps or gaps between parts. However, each TIGER/Line Shapefile is designed to stand alone as an independent dataset or the shapefiles can be combined to cover the whole nation.

Belize administrative level 0 (country) age and sex 2010 disaggregated population statistics Belize administrative level 1 (district) age and sex 2010 disaggregated population statistics Belize administrative level 2 (local government) sex 2010 disaggregated population statistics

REFERENCE YEAR: 2010

The administrative level 0 and 1 tables are suitable for database and GIS linkage to the [Belize - Subnational Administrative Boundaries]

Data extracted from the Belize Population and Housing Census Country Report 2010, Statistical Institute of Belize.

Version history: 22 July 2019 Initial upload

Malaysia administrative level 0-1 2020 sex and age disaggregated population statistics projected from 2010 census.

Note: the gazetteer was corrected in March 2023 to reflect two administrative level 1 name changes. The population statistics tables do not reflect these corrections.

REFERENCE YEAR: 2020

These boundaries are suitable for database or GIS linkage to the Malaysia - Subnational Administrative Boundaries

Gazetteer of Australian Place Names (Suburbs Only)

Mauritius administrative level 0-1 2018 projected population with gender and Census 2011 population with age.

REFERENCE YEAR: 2018

Users should note that a correction has been made to the Mauritius COD-PS posted early on 9 August. The 2018 population data were correct but the Census 2011 population data tables have been updated to amend an error in the 2011 population figures. This note will be removed after one week.

These tables are suitable for database or GIS linkage to the Mauritius - Subnational Administrative Boundaries.

Mozambique administrative level 0 (country), 1 (province), 2 (district) and 3 (posto) boundary polygons and gazetteer. The administrative level 0-2 shapefiles are suitable for database or ArcGIS linkage to the population statistics tables (excluding Census 2017 preliminary population per district )

Thailand administrative level 0-2 projected sex and age disaggregated 2023 population statistics

REFERENCE YEAR: 2023

These tables are suitable for database or GIS linkage to the administrative level 0 and 1 Thailand - Subnational Administrative Boundaries shapefiles and geodatabase features using the ADM0, ADM1, and ADM2_PCODE items.

Place Names from USA NGSIA formerly NIMA

The aim of this study was to provide a systematic empirical assessment of three basic organizational premises of Community-Oriented Policing (COP). This study constructed a comprehensive data set by synthesizing data available in separate national data sets on police agencies and communities. The base data source used was the 1999 Law Enforcement Management and Administrative Statistics (LEMAS) survey [LAW ENFORCEMENT MANAGEMENT AND ADMINISTRATIVE STATISTICS (LEMAS), 1999 (ICPSR 3079)], which contained data on police organizational characteristics and on adoption of community-oriented policing procedures. The 1999 survey was supplemented with additional organizational variables from the 1997 LEMAS survey [LAW ENFORCEMENT MANAGEMENT AND ADMINISTRATIVE STATISTICS (LEMAS), 1997 (ICPSR 2700)] and from the 1996 Directory of Law Enforcement Agencies [DIRECTORY OF LAW ENFORCEMENT AGENCIES, 1996: UNITED STATES]. Data on community characteristics were extracted from the 1994 County and City Data Book, from the 1996 to 1999 Uniform Crime Reports [UNIFORM CRIME REPORTING PROGRAM DATA. [UNITED STATES]: OFFENSES KNOWN AND CLEARANCES BY ARREST (1996-1997: ICPSR 9028, 1998: ICPSR 2904, 1999: ICPSR 3158)], from the 1990 and 2000 Census Gazetteer files, and from Rural-Urban Community classifications. The merging of the separate data sources was accomplished by using the Law Enforcement Agency Identifiers Crosswalk file [LAW ENFORCEMENT AGENCY IDENTIFIERS CROSSWALK [UNITED STATES], 1996 (ICPSR 2876)]. In all, 23 data files from eight separate sources collected by four different governmental agencies were used to create the merged data set. The entire merging process resulted in a combined final sample of 3,005 local general jurisdiction policing agencies. Variables for this study provide information regarding police organizational structure include type of government, type of agency, and number and various types of employees. Several indices from the LEMAS surveys are also provided. Community-oriented policing variables are the percent of full-time sworn employees assigned to COP positions, if the agency had a COP plan, and several indices from the 1999 LEMAS survey. Community context variables include various Census population categories, rural-urban continuum (Beale) codes, urban influence codes, and total serious crime rate for different year ranges. Geographic variables include FIPS State, county, and place codes, and region.

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed. This study used the National Incident-Based Reporting System (NIBRS) to explore whether changes in the 2000-2010 decade were associated with changes in the prevalence and nature of violence between and among Whites, Blacks, and Hispanics. This study also aimed to construct more accessible NIBRS cross-sectional and longitudinal databases containing race/ethnic-specific measures of violent victimization, offending, and arrest. Researchers used NIBRS extract files to examine the influence of recent social changes on violence for Whites, Blacks, and Hispanics, and used advanced imputation techniques to account for missing values on race/ethnic variables. Data for this study was also drawn from the National Historical Geographic Information System, the Census Gazetteer, and Law Enforcement Officers Killed or Assaulted (LEOKA). The collection includes 1 Stata data file with 614 cases and 159 variables and 2 Stata syntax files.

This dataset is a census of penguin colony counts from the year 1900 in the Antarctic region. It forms part of the Inventory of Antarctic seabird breeding sites within the Antarctic and subantarctic …Show full descriptionThis dataset is a census of penguin colony counts from the year 1900 in the Antarctic region. It forms part of the Inventory of Antarctic seabird breeding sites within the Antarctic and subantarctic islands. The Antarctic and subantarctic fauna database (seabirds) is a database detailing the distribution and abundance of breeding localities for Antarctic and Subantarctic seabirds. Each species' compilation was produced by members of the SCAR Bird Biology Subcommittee. This separate metadata record has been created beacause it represents only the penguin colony counts that have been published to OBIS. Note: The Year (not day or month) date is only relevent in this dataset. The positions that have been published to OBIS include latitude and longitude positions that were not included within the original dataset. The latitude and longitude positions that were not noted by the observer have been created from the locality given by the observer using the Antarctic Composite Gazetteer. Two spreadsheets are available for download, from the URL given below. The original, unmodified spreadsheet is available, as well as a corrected spreadsheet. In the corrected spreadsheet, the AADC has attempted to reconcile the poorly presented localities into a single column. It is possible that some of these localities may not be correct. The fields in this dataset are: SCAR Number Species Region Locality Longitude Latitude Number of Colonies Number of Pairs Type and accuracy of count Data Date References Remarks These data are further referenced in ANARE Research Notes 9 - see reference below.

Abstract copyright UK Data Service and data collection copyright owner.

The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

The Great Britain Historical GIS Project has also produced digitised boundary data, which can be obtained from the UK Data Service Census Support service. Further information is available at census.ukdataservice.ac.uk

Main Topics:

The Great Britain Historical Database is a large database of British nineteenth and twentieth-century statistics. Where practical the referencing of spatial units has been integrated, data for different dates have been assembled into single tables.

The Great Britain Historical Database currently contains :

• Statistics from the 1861 Census and the Registrar General's reports, 1851-1861
  
• Employment statistics from the census, 1841-1931
  
• Demographic statistics from the census, 1841-1931
  
• Mortality statistics from the Registrar General's reports, 1861-1920
  
• Marriage statistics from the Registrar General's reports, 1841-1870
  
• Trade union statistics for the Amalgamated Society of Engineers (ASE), 1851-1918
  
• Trade union statistics for the Amalgamated Society of Carpenters and Joiners (ASCJ), 1863-1912
  
• Official poor law statistics, 1859-1915 and 1919-1939
  
• Wage statistics, 1845-1906
  
• Hours of work statistics, 1900-1913
  
• Small debt statistics from county courts, 1847-1913 and 1938
  

There are four tables in this part of the Great Britain Historical Database, providing a comprehensive account of changing administrative units in England and Wales over the period from 1888 to 1973:

Lgd holds all the local government districts (county boroughs, London boroughs, municipal boroughs, rural districts and urban districts) in the GIS and acts as a gazetteer between the GIS and the Great Britain Historical Database.

Main_ch holds the total information about each change, e.g. date, total population, total area, type of change, etc (This table is currently unavailable).

Sub_area holds details of all the sub areas (ideally civil parishes) affected by the changes (This table is currently unavailable).

Lgd_to_cha acts as a lookup table between lgd and main_ch (This table is currently unavailable).

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

Link to landing page referenced by identifier. Service Protocol: Link to landing page referenced by identifier. Link Function: information-- dc:identifier.

Uganda level 0-2 sex and age disaggregated 2023 projected population statistics

REFERENCE YEAR: 2023

These tables reflect the 135 district administrative system.

These population statistics tables are suitable for database or GIS linkage to the administrative level 0-2 boundaries available at Uganda - Subnational Administrative Boundaries using the ADM0, ADM1, and ADM2_PCODE items

Abstract copyright UK Data Service and data collection copyright owner.

This research project aimed to fill a major lacuna militating against the effective exploitation of many post-medieval to mid-Victorian historical sources collected by local administrative areas: the lack of information on the boundaries of those administrative areas, the so-called 'historic' or 'ancient' parishes of England and Wales. It is known that these districts came into being during the Middle Ages, that the map of these ecclesiastical parishes was essentially complete by the fifteenth century, that these ecclesiastical boundaries were adopted during the early modern period for secular and judicial purposes, and that boundaries remained essentially unchanged until a number of reforms from the mid-nineteenth century onwards reorganised the local administrative geography of the country. The project aimed to reconstruct those boundaries as they were before the post-nineteenth century changes.
Main Topics:

The digitised maps cover the whole of England and Wales, and are organised by Ordnance Survey Sheet number. The maps contain a scanned bitmap image of the Ordnance Survey one inch to one mile (1:63,360) New Popular Edition maps (1945-8) with National Grid. They contain the boundaries of some 18,233 places, and are arranged as three electronic 'layers'. The first is a scan of the Ordnance Survey maps stored as grey tone sheet images. This enables Ordnance Survey physical, cultural and place-name content to be readily visible in the background for orientation and general location purposes, while not obscuring the added boundary and reference number material. The second layer consists of the boundaries, stored as solid red lines; and the third layer contains the reference numbers that link places on the map to the gazetteer/metadata dataset that accompanies the maps.

The maps are available on CD-ROM in Adobe Illustrator (ISBN:0-9540032-2-5) or Adobe Acrobat (ISBN:0-9540032-1-7) PDF formats. We recommend using the Adobe Illustrator format if you already have the software (as it enables you to edit the maps and select the layers to view). However, the Adobe Acrobat PDF format is perfectly suitable for viewing the maps, and we will supply the necessary reader software.

An accompanying book Historic Parishes of England and Wales: An Electronic Map of Boundaries before 1850 with a Gazetteer and Metadata by Roger Kain and Richard Oliver (ISBN:0-9540032-0-9) provides an introduction to the provenance of the maps. It also includes an abbreviated version of the gazetteer/metadata dataset, and a discussion of historical boundaries.

This unique combination publication is set to become a standard reference resource and is an invaluable tool for all those interested in plotting local area-based data from the past (population, agricultural, statistics, tax data etc.) from the fourteenth to the nineteenth centuries.

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

The Great Britain Historical Database has been assembled as part of the ongoing Great Britain Historical GIS Project. The project aims to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain at sub-county scales. Further information about the project is available on A Vision of Britain webpages, where users can browse the database's documentation system online.

This study assembles historical data from the National Insurance system, plus some data from trade union welfare systems gathered and published by the Board of Trade Labour Department. The data were computerised by the Great Britain Historical GIS Project. They form part of the Great Britain Historical Database, which contains a wide range of geographically-located statistics, selected to trace the emergence of the north-south divide in Britain and to provide a synoptic view of the human geography of Britain, generally at sub-county scales.

Most of the data here was originally published by the Ministry of Labour, either in the Labour Gazette, later the Employment Gazette, or in the specialised Local Unemployment Index (LUI), published between 1927 and 1939. The largest dataset here is a complete transcription of the LUI data for each January, April, July and October from January 1927 to July 1939 inclusive, the most detailed information that exists on the geography of the inter-war depression, other than the 1931 census.

Unlike census data, these data concern a wide range of regions, "divisions", "districts", towns and sometimes areas within towns, seldom defined (the LUI data do list counties). The study therefore also includes two specially constructed gazetteers which attempt to provide towns and areas within towns with point coordinates. Another limitation is that these data generally provide counts of the unemployed, but not counts of the insured, or numbers in work, so calculation of rates often requires data from other sources such as the census. The study also includes two transcriptions from unpublished tabulations in the National Archives, relating to unemployment in 1928 and 1933.

Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.

For the second edition (February 2024), the data was updated; data running up to 1974 has been added and the former study 3711 has been incorporated.

Ferbanks ing Fairbanks Amerika Birləşmiş ştatlarının Alyaska ştatında yerləşən şəhər United States Bureau of the Census

All cities with a population > 1000 or seats of adm div (ca 80.000)Sources and ContributionsSources : GeoNames is aggregating over hundred different data sources. Ambassadors : GeoNames Ambassadors help in many countries. Wiki : A wiki allows to view the data and quickly fix error and add missing places. Donations and Sponsoring : Costs for running GeoNames are covered by donations and sponsoring.Enrichment:add country name