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Check the list below for newly added datasets on the Open Data Portal

 

Dataset Name
Date Added
Comments

 

03-01-2024
The Delaware Historical Marker Program began in 1931 when the General Assembly of Delaware passed an act establishing a permanent commission to erect historical markers throughout the state. The markers in each county were numbered sequentially as they were proposed, preceded by NC (New Castle), K (Kent), and S (Sussex) to note the county in which they were located. Since the beginning of the program in the 1930s, the State of Delaware has erected more than 660 markers. The Delaware Public Archives has administered the Historical Markers Program since 1990. Community members and the state legislature have always played active roles in the Historical Markers Program. Today, every new state historical marker is the result of partnerships between the Delaware Public Archives, state legislators, and local community members. Funding for each marker comes as a result of a direct request to members of the General Assembly from interested individuals and organizations. As a result, the markers represent Delawareans’ shared history and become a source of pride for local communities.

 

02-23-2024
The Election Districts are subdivisions of the larger legislative districts. These districts are for electing the State of Delaware Legislative body.

 

 

 

 

02-23-2024

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB 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 data set, or they can be combined to cover the entire nation.

Census Blocks are statistical areas bounded on all sides by visible features, such as streets, roads, streams, and railroad tracks, and/or by nonvisible boundaries such as city, town, township, and county limits, and short line-of-sight extensions of streets and roads. Census blocks are relatively small in area; for example, a block in a city bounded by streets. However, census blocks in remote areas are often large and irregular and may even be many square miles in area. A common misunderstanding is that data users think census blocks are used geographically to build all other census geographic areas, rather all other census geographic areas are updated and then used as the primary constraints, along with roads and water features, to delineate the tabulation blocks. As a result, all 2020 Census blocks nest within every other 2020 Census geographic area, so that Census Bureau statistical data can be tabulated at the block level and aggregated up to the appropriate geographic areas. Census blocks cover all territory in the United States, Puerto Rico, and the Island Areas (American Samoa, Guam, the Commonwealth of the Northern Mariana Islands, and the U.S. Virgin Islands). Blocks are the smallest geographic areas for which the Census Bureau publishes data from the decennial census. A block may consist of one or more faces.

 

02-23-2024

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB 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 data set, or they can be combined to cover the entire nation.

Census tracts are small, relatively permanent statistical subdivisions of a county or equivalent entity, and were defined by local participants as part of the 2020 Census Participant Statistical Areas Program. The Census Bureau delineated the census tracts in situations where no local participant existed or where all the potential participants declined to participate. The primary purpose of census tracts is to provide a stable set of geographic units for the presentation of census data and comparison back to previous decennial censuses. Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. When first delineated, census tracts were designed to be homogeneous with respect to population characteristics, economic status, and living conditions. The spatial size of census tracts varies widely depending on the density of settlement. Physical changes in street patterns caused by highway construction, new development, and so forth, may require boundary revisions. In addition, census tracts occasionally are split due to population growth, or combined as a result of substantial population decline. Census tract boundaries generally follow visible and identifiable features. They may follow legal boundaries such as minor civil division (MCD) or incorporated place boundaries in some States and situations to allow for census tract-to-governmental unit relationships where the governmental boundaries tend to remain unchanged between censuses. State and county boundaries always are census tract boundaries in the standard census geographic hierarchy. In a few rare instances, a census tract may consist of noncontiguous areas. These noncontiguous areas may occur where the census tracts are coextensive with all or parts of legal entities that are themselves noncontiguous. For the 2020 Census, the census tract code range of 9400 through 9499 was enforced for census tracts that include a majority American Indian population according to Census 2010 data and/or their area was primarily covered by federally recognized American Indian reservations and/or off-reservation trust lands; the code range 9800 through 9899 was enforced for those census tracts that contained little or no population and represented a relatively large special land use area such as a National Park, military installation, or a business/industrial park; and the code range 9900 through 9998 was enforced for those census tracts that contained only water area.

 

02-23-2024

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB 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 data set, or they can be combined to cover the entire nation.

Block Groups (BGs) are clusters of blocks within the same census tract. Each census tract contains at least one BG, and BGs are uniquely numbered within census tracts. BGs have a valid code range of 0 through 9. BGs have the same first digit of their 4-digit census block number from the same decennial census. For example, tabulation blocks numbered 3001, 3002, 3003,.., 3999 within census tract 1210.02 are also within BG 3 within that census tract. BGs coded 0 are intended to only include water area, no land area, and they are generally in territorial seas, coastal water, and Great Lakes water areas. Block groups generally contain between 600 and 3,000 people. A BG usually covers a contiguous area but never crosses county or census tract boundaries. They may, however, cross the boundaries of other geographic entities like county subdivisions, places, urban areas, voting districts, congressional districts, and American Indian / Alaska Native / Native Hawaiian areas.

The BG boundaries in this release were delineated as part of the Census Bureau's Participant Statistical Areas Program (PSAP) for the 2020 Census.

 

02-23-2024

This resource is a member of a series. The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB 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 data set, or they can be combined to cover the entire nation. After each decennial census, the Census Bureau delineates urban areas that represent densely developed territory, encompassing residential, commercial, and other nonresidential urban land uses. In general, this territory consists of areas of high population density and urban land use resulting in a representation of the urban footprint. There are 2,646 Urban Areas (UAs) in this data release with either a minimum population of 5,000 or a housing unit count of 2,000 units. Each urban area is identified by a 5-character numeric census code that may contain leading zeroes.

 

04-25-2023
This file contains a list of Notaries who are currently certified to perform Notarial acts in the State of Delaware. This will show the notary name, commission number, and city notary is located in. This will also show if the notary is approved for electronic or remote notarization. If approved for Electronic Notarization, the notary is approved to notarize electronic records. If approved for Remote Notarization, the notary is approved to notarize records belonging to an individual who is not physically located in the presence of the Notary Public.

 

04-04-2023
This portal is part of our commitment to improving transparency by providing a guided view through the State of Delaware’s budgetary data. This site provides a transparent look at how we appropriate public funds. The charts, graphs, and tables below are all highly interactive and we invite you to explore. The multi-year dataset contains appropriated budgets for expense and positions effective July 1 through June 30 annually. This data reflects funding as enacted in the final operating budget acts by the Delaware General Assembly and signed by the Governor. Data provided in this portal differ from Section 1 of the Operating Budget Act, if the operating budget for that fiscal year was amended by a subsequent appropriation act (e.g. Grant-in-Aid Act). The expense budget data contains dollar amounts by fund type: General Funds, Appropriated Special Funds, and Transportation Trust Funds. Values are listed by six-digit department code, fund type, and appropriation description. Values are shown as thousands rounded to one decimal place (for example, $1,500 would show as $1.5). The position budget data contains full-time equivalent (FTE) counts by fund type: General Funds, Appropriated Special Funds, Non-appropriated Special Funds, and Transportation Trust Funds. Position values are listed by six-digit department code, fund type, and appropriation description.

 

 









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