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The Census 2010 Census Block Demographics Database contains a set of Census 2010 identifier items and demographic data items (list of each below) for each more than 11 million census blocks. Organized on a state-by-state basis, the database has been derived from the Census 2010 Summary File 1 data. Datasets are available for individual counties, states and the U.S. Use these data with Proximity software including CV XE GIS, Point-to-Geocode, ProximityOne Geocoder, custom developed tools or your own software. Census block records include an urban/rural indicator. The urban/rural indicator was developed as a part of the process to define Census 2010 urban area geography. Applications and Usage Use this database to (see descriptions of application topics below): • Create profiles for block-to-block comparative analysis (example) • Aggregate census block data into custom defined geography: - attendance zones, trading areas (example) • Create equivalence files; examples linking block to ZIP & summarizing at higher level geography: - ZIP Code Demographics by City/Place: http://proximityone.com/zip-place.htm - ZIP Code Demographics by School District: http://proximityone.com/zip-sd.htm - ZIP Code Demographics by Congressional District: http://proximityone.com/zip-cd.htm • Use with optional census block shapefiles for thematic mapping & geospatial analysis - click links at right to view thematic mapping and geospatial analysis uses Block Data Record Fields. Each block record contains the identification fields and subject matter fields listed below. Identifier Items
Subject Matter Items -- Census 2010 DP1 Block Fields Summary File 1 field names with description Items selected are those available at census block level and used in Census 2010 Demographic Profile 1.
P0030001 Total Population
P0030002 Race: White alone P0030003 Race: Black or African American alone P0030004 Race: American Indian and Alaska Native alone P0030005 Race: Asian alone P0030006 Race: Native Hawaiian and Other Pacific Islander alone P0030007 Race: Some Other Race alone P0030008 Race: Two or More Races P0050001 Total Population P0050002 Not Hispanic or Latino: Total P0050003 Not Hispanic or Latino: White alone P0050004 Not Hispanic or Latino: Black or African American alone P0050005 Not Hispanic or Latino: American Indian and Alaska Native alone P0050006 Not Hispanic or Latino: Asian alone P0050007 Not Hispanic or Latino: Native Hawaiian and Other Pacific Islander alone P0050008 Not Hispanic or Latino: Some Other Race alone P0050009 Not Hispanic or Latino: Two or More Races P0050010 Hispanic or Latino: Total P0050011 Hispanic or Latino: White alone P0050012 Hispanic or Latino: Black or African American alone P0050013 Hispanic or Latino: American Indian and Alaska Native alone P0050014 Hispanic or Latino: Asian alone P0050015 Hispanic or Latino: Native Hawaiian and Other Pacific Islander alone P0050016 Hispanic or Latino: Some Other Race alone P0050017 Hispanic or Latino: Two or More Races P0120001 Total Population P0120002 Male: P0120003 Male: Under 5 years P0120004 Male: 5 to 9 years P0120005 Male: 10 to 14 years P0120006 Male: 15 to 17 years P0120007 Male: 18 and 19 years P0120008 Male: 20 years P0120009 Male: 21 years P0120010 Male: 22 to 24 years P0120011 Male: 25 to 29 years P0120012 Male: 30 to 34 years P0120013 Male: 35 to 39 years P0120014 Male: 40 to 44 years P0120015 Male: 45 to 49 years P0120016 Male: 50 to 54 years P0120017 Male: 55 to 59 years P0120018 Male: 60 and 61 years P0120019 Male: 62 to 64 years P0120020 Male: 65 and 66 years P0120021 Male: 67 to 69 years P0120022 Male: 70 to 74 years P0120023 Male: 75 to 79 years P0120024 Male: 80 to 84 years P0120025 Male: 85 years and over P0120026 Female: Total P0120027 Female: Under 5 years P0120028 Female: 5 to 9 years P0120029 Female: 10 to 14 years P0120030 Female: 15 to 17 years P0120031 Female: 18 and 19 years P0120032 Female: 20 years P0120033 Female: 21 years P0120034 Female: 22 to 24 years P0120035 Female: 25 to 29 years P0120036 Female: 30 to 34 years P0120037 Female: 35 to 39 years P0120038 Female: 40 to 44 years P0120039 Female: 45 to 49 years P0120040 Female: 50 to 54 years P0120041 Female: 55 to 59 years P0120042 Female: 60 and 61 years P0120043 Female: 62 to 64 years P0120044 Female: 65 and 66 years P0120045 Female: 67 to 69 years P0120046 Female: 70 to 74 years P0120047 Female: 75 to 79 years P0120048 Female: 80 to 84 years P0120049 Female: 85 years and over P0130001 Median age: Total Population P0130002 Median age: Male P0130003 Median age: Female P0170001 Average household size by age – total households P0170002 Average household size by age - P0170003 Average household size by age P0180001 Households: Total P0180002 Households: Family Households: Total P0180003 Households: Family Households: Husband-Wife P0180004 Households: Family Households: Other Family P0180005 Households: Family Households: Other Family: Male householder, no wife P0180006 Households: Family Households: Other Family: Female householder, no husband P0180007 Households: Nonfamily households: Total P0180008 Households: Nonfamily households: Householder living alone P0180009 Households: Nonfamily households: Householder not living alone P0290001 Population: Total P0290002 Population in Households: Total P0290003 Population in Households: In family households: Total P0290004 Population in Households: In family households: Householder: Total P0290005 Population in Households: In family households: Householder: Male P0290006 Population in Households: In family households: Householder: Female P0290007 Population in Households: In family households: Spouse P0290008 Population in Households: In family households: Biological child P0290009 Population in Households: In family households: Adopted child P0290010 Population in Households: In family households: Stepchild P0290011 Population in Households: In family households: Grandchild P0290012 Population in Households: In family households: Brother or sister P0290013 Population in Households: In family households: Parent P0290014 Population in Households: In family households: Parent-in-law P0290015 Population in Households: In family households: Son-in-law or daughter-in-law P0290016 Population in Households: In family households: Other relatives P0290017 Population in Households: In family households: Nonrelatives P0290018 Population in Households: In nonfamily households: Total P0290019 Population in Households: In nonfamily households: Male householder: Total P0290020 Population in Households: In nonfamily households: Male householder: Living alone P0290021 Population in Households: In nonfamily households: Male householder: Not living alone P0290022 Population in Households: In nonfamily households: Female householder: Total P0290023 Population in Households: In nonfamily households: Female householder: Living alone P0290024 Population in Households: In nonfamily households: Female householder: Nnot living alone P0290025 Population in Households: In nonfamily households: Nonrelatives P0290026 Population in Group Quarters: Total P0290027 Population in Group Quarters: Institutionalized P0290028 Population in Group Quarters: Noninstitutionalized P0370001 Families: Average Family Size: Total P0370002 Families: Average Family Size: Under 18 years P0370003 Families: Average Family Size: 18 years and over H0030001 Housing Units: Total H0030002 Housing Units: Occupied H0030003 Housing Units: Vacant H0040001 Occupied Housing Units: Total H0040002 Occupied Housing Units: Owned with mortgage or loan H0040003 Occupied Housing Units: Owned free and clear H0040004 Occupied Housing Units: Renter occupied H0050001 Vacant Housing Units: Total H0050002 Vacant Housing Units: For rent H0050003 Vacant Housing Units: Rented, not occupied H0050004 Vacant Housing Units: For sale only H0050005 Vacant Housing Units: Sold, not occupied H0050006 Vacant Housing Units: For seasonal, recreational, or occasional use H0050007 Vacant Housing Units: For migrant workers H0050008 Vacant Housing Units: Other vacant H0100001 Population in Occupied Housing Units H0110001 Population in Occupied Housing Units: Total H0110002 Population in Occupied Housing Units: Owned with a mortgage or loan H0110003 Population in Occupied Housing Units: Owned free and clear H0110004 Population in Occupied Housing Units: Renter occupied H0120001 Average Household Size of Occupied Housing Units: Total H0120002 Average Household Size of Occupied Housing Units: Owner occupied H0120003 Average Household Size of Occupied Housing Units: Renter occupied Sample Profile Display Using Demographic Data Analyst
Census 2010 Demographic Profile DP1 -- Census 2010 Blocks
ProximityOne -- http://proximityone.com/cen2010_sf1.htm
Companion Databases. Too much or not the right geographic detail? The demographic subject matter contained in the CENBLK database are also immediately available on a national scope, similarly structured, for counties, cities, school districts, traffic analysis zones, ZIP code areas, census tracts, block groups, and other geographic areas. Do you need time-series data or data regarding demographic change over time? Proximity has companion geographic crosswalk files that enable you, or Proximity as a service, to develop data, say from the 2000 Census, for geography corresponding to Census 2010 geography. Ready to Map. The CENBLK database is organized as in highly transportable dBase file structure. Integrate these data directly with your existing GIS shapefiles using your own software or the Proximity dBMerge software. Integrate the CENBLK demographics into the census block shapefiles (see http://proximityone.com/mapfiles.htm). Examples of mapping/geospatial analysis using census block geodemographics: -- Houston, TX MSA -- Texas Statewide -- Santa Clara County, CA Uses by Application Area. The CENBLK database uniquely meets a wide range of reference, planning, analysis, and data linkage needs. Some examples of uses are presented below. Market Size/Composition. Use these maximum geographic granularity demographic data to target your marketing, sales, operations, logistics, and related customer/market -oriented needs. Education. Here a two examples of using these data for K-12 education applications. Develop demographics for existing or prospective new attendance areas. Learn what the size of the population service area is under different attendance area geographic scenarios. For districts that change boundaries since the 2009-2010 school year (date for school district boundary data in Census 2010 references), you can tabulate the size and characteristics of the new district configuration and assess implication since changes from previous boundaries. NTIA Broadband Initiative. Census block level data are of critical importance to the U.S. National Telecommunications and Information Administration (NTIA) broadband availability enhancement. Only using the 2010 census block data can broadband providers accurately assess broadband availability by urban/rural geography. Civil Rights Issues. The single year of age detail, by gender, in the CENBLK database provide an easily accessible database useful in wide ranging applications involving civil rights cases. It becomes a relatively straightforward application to determine the demographic size and composition of any study area. Health. The Census 2010 data are used in many application areas as "denominator" data. That is, by knowing the size of the population or housing served, health analysts can better examine the implications of magnitude associate with health-related measures that are often difficult to measure directly. Areas subject to analysis for health-related reasons are sometimes defined in a fluid manner making the block level granularity ideal to develop denominator data for health cachement areas. Environment. The impact of pollutants along a stream or coastal area can often be measured in terms of toxicity to the geographic area exposed. The census block data enable analysts to examine the size of particular types of population adjacent to environmental impact sites. Disaster Planning. The CENBLK database is a unique way to be able to determine the impact of any type of disaster with near pin-point accuracy -- and dynamically. Aggregate Block Data. ProximityOne has used the CENBLK file to develop ZIP Code and school district attendance zone data aggregates. Similar aggregate data can be developed for study areas based radii, corridors, or geographic correspondence of block within an area. Aggregate the Census 2010 demographics contained in the data record to your target geography. The data record contains the latitude-longitude as well as the full sequence of geocodes to enable these types of data aggregation. Geographic Relationships. Determine, for example, what ZIP code areas are partly/wholly contained with a city, metropolitan area, county, custom study area, or many other types of geography. Use the block correspondence list to enable your software to aggregate non-census data to block or any of these other areas. Census 2000 - Census 2010 Census Block Relationships When comparing demographic patterns and change between Census 2000 and Census 2010 it is typically important to be able to compare the same geography. For example, what was Census 2000 block 1007 in tract 4124.00 (aka 4124 aka 412400) in Harris County, Texas is subdivided into several blocks for Census 2010. See these relationships by map view and tabularly in the Census 2000 - Census 2010 Census Block Relationships Gallery views. Prospective new alignments in geographies such changing, alternative boundaries for congressional districts, state legislative districts, trade areas, enterprise zones, city/township board areas, school district attendance zones, among others need to take into account how component census blocks compare between Census 2000 and Census 2010. Census 2000-Census 2010 census block equivalance data provide this ability. Census 2000-Census 2010 Census Block Equivalance Dataset Fields
Support. ProximityOne supports usage of the CENBLK in several ways. Expert assistance is available to answer any question about the content and provide assistance with technical processing issues and analytically-oriented applications. Several ProximityOne software components are available to facilitate applications. The database will continue to have companion database development in regards to geographic derivative files from the TIGER shapefiles. How to Order. The CENBLK database may be ordered under a perpetual usage, non-exclusive license. Single user and site licenses are available. The database may be acquired on a state-by-state or national set of state files. The database price for a site license to the national file set is less than 1/10th of one cent per geographic area. About ProximityOne. ProximityOne develops geographic-demographic-economic data and analytical tools and helps organizations knit together and use diverse data in a decision-making and analytical framework. We develop custom demographic/economic estimates and projections, develop geographic and geocoded address files, and assist with impact and geospatial analyses. Wide-ranging organizations use our tools (software, data, methodologies) to analyze their own data integrated with other data. Contact us (888-364-7656) with questions or for additional information. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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