- Demographic And Housing Estimates By US States And Zip Code Map
- Demographics By US States And Zip Code Map
- American Community Survey
- 5 Years Estimates
- Demographic And Housing Estimates
- Zip Code Tabulation Areas
- States FIPS Codes
- ACS Latitude And Longitude
- American Community Survey Land Area
- American Community Survey Water Area
- Age Estimates
- Gender Estimates
- Race Estimates
Demographic And Housing Estimates ACS 2011-2015
This dataset identifies demographic and housing estimates including sex and age, race and housing units by zip code tabulation areas within the United States. This dataset resulted from the American Community Survey (ACS) conducted from 2011 through 2015. JSL enriched this dataset with Latitude and Longitude information and with the map information about the land and water area of zip code tabulation areas.
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The ACS 5-year estimates data is an official survey of the US Census Bureau Decennial Census Program and supplements the 10-year census data. It is a nationwide survey designed to provide reliable and timely demographic, social, economic, and housing data over the specified time period.
The ACS produces the information by contacting over 3.5 million households across the country to participate in the survey. By focusing on quality geographic coverage, the ACS produces a good picture of the community’s people and housing by surveying a representative sample of the population. The ACS produces period estimates which describe the average characteristics of an area over the specified time period.
TThe ACS provides vital information on a 1-year, 3-year, and 5-year basis. The 5-year estimates reflect a 60-month period and are designed to provide the most up-to-date, accurate, reliable, and the largest sample size available. The primary advantage of using multiyear estimates is the increased statistical reliability of the data for less populated and small population subgroups.
Multiyear estimates are used when the precision of the estimates is more important than the currency of the data; when analyzing data for smaller geographies; when examining change over non-overlapping time periods; and, for smoothing data trends over time. Local area variations may occur due to rapidly occurring changes and multiyear estimates are sensitive to such changes. Multiyear estimates cannot be used to say what is going on in any particular year in the period, only what the average value is over the full period. ACS estimates are published with the margins of error at the 90 percent confidence level.
The ACS estimates represent concepts that are fundamentally different from those associated with sample data from the decennial census. It is designed to provide estimates that describe the average characteristics of an area over a period-of-time as opposed to point-in-time estimates such as the decennial census, which approximate the characteristics of an area on a specific date.
The 2015 TIGER/Line Shapefiles contain current geography for the United States, the District of Columbia, Puerto Rico, and the Island areas. Current geography in the 2015 TIGER/Line Shapefiles generally reflects the boundaries of governmental units in effect as of January 1, 2015, and other legal and statistical area boundaries that have been adjusted and/or corrected since the 2010 Census. This vintage includes boundaries of governmental units that match the data from the surveys that use 2015 geography, such as the 2015 Population Estimates and the 2015 American Community Survey.
The ACS is a source of statistics at the local level giving even the smallest communities accurate and timely information that is essential for decision-making. The ACS estimates better reflect the growth of the population as well as the changing socioeconomic and demographic characteristics of the American people.
About this Dataset
2011-01-01 to 2015-12-31
John Snow Labs; United States Census Bureau;
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American Community Survey, 5 Years Estimates, Demographic And Housing Estimates, Zip Code Tabulation Areas, States FIPS Codes, ACS Latitude And Longitude, American Community Survey Land Area, American Community Survey Water Area, Age Estimates, Gender Estimates, Race Estimates
Demographic And Housing Estimates By US States And Zip Code Map, Demographics By US States And Zip Code Map
|Geographic_ID||Unique 14-digit codes used to represent specific geographic areas. The code identifies the summary level of data, the geographic component of the data and Federal Information Processing Series (FIPS) codes. Maintained by the US Census Bureau and the American National Standards Institute (ANSI).||string||required : 1|
|Geographic_Level||Specifies the geographic level at which the estimates are calculated||string||enum : Array (  => United States  => State  => ZIP Code Tabulation Area ) required : 1|
|FIPS_Code||Unique 5-digit Federal Information Processing Series (FIPS) codes used to identify geographic features. Maintained by the American National Standards Institute (ANSI).||string||-|
|Zip_Code||The United States Postal Service (USPS) 5-digits ZIP Code||string||-|
|Area_Name_Or_Code||The name or code of the geographical area which can be the United States, the name of state or the ZIP Code Tabulation Area code||string||-|
|Latitude||The 2015 TIGER/Line Shapefiles latitude of the internal point of US state or of the ZIP Code Tabulation Area in decimal degrees||number||-|
|Longitude||The 2015 TIGER/Line Shapefiles longitude of the internal point of US state or of the ZIP Code Tabulation Area in decimal degrees||number||-|
|Land_Area||The 2015 TIGER/Line Shapefiles size of land area of the state or of the ZIP Code Tabulation Area in square meters and as a value or interval of values||integer||level : Ratio|
|Water_Area||The 2015 TIGER/Line Shapefiles size of water area of the state or of the ZIP Code Tabulation Area surface in square meters and as a value or interval of values||integer||level : Ratio|
|Age_Group||The population age group to which it corresponds the estimated values||string||required : 1|
|Gender||The gender of the population group to which it corresponds the estimated values||string||required : 1|
|Race||The race/s of the population group to which it corresponds the estimated values||string||required : 1|
|Estimated_Population||The estimated size of the population in the demographic group||integer||level : Ratio|
|Estimated_Population_Margin_Of_Error||The 90 confidence level margin of error for the estimated size of the population||number||level : Ratio|
|Percent_Of_Population||The estimated percent of the population belonging to the demographic group among the total population||number||level : Ratio|
|Percent_Of_Population_Margin_Of_Error||The 90 confidence level margin of error for the estimated percent of the population belonging to the demographic group||number||level : Ratio|
|Median_Age||The estimated median age of the population belonging to the demographic group||number||level : Ratio|
|Median_Age_Margin_Of_Error||The 90 confidence level margin of error for the estimated median age of the population belonging to the demographic group||number||level : Ratio|
|Housing_Units||The estimated number of housing units for the demographic group||integer||level : Ratio|
|Housing_Units_Margin_Of_Error||The 90 confidence level margin of error for the estimated number of housing units||number||level : Ratio|
|US_Citizens||The estimated number of US citizens belonging to the demographic group||integer||level : Ratio|
|US_Citizens_Margin_Of_Error||The 90 confidence level margin of error for the estimated number of US citizens belonging to the demographic group||integer||level : Ratio|
|Percent_Of_US_Citizens||The estimated percent of US citizens among the demographic group population||number||level : Ratio|
|Percent_Of_US_Citizens_Margin_Of_Error||The 90 confidence level margin of error for the estimated percent of US citizens among the demographic group population||number||level : Ratio|
|0100000US||United States||0||United States||All ages||Male||All races||155734280||6323||49||0.1|
|0100000US||United States||0||United States||All ages||Female||All races||160780741||6310||51||0.1|
|0100000US||United States||0||United States||All ages||Both genders||Black||39908095||26702||13||0.1|
|0100000US||United States||0||United States||All ages||Both genders||White||232943055||48330||74||0.1|
|0100000US||United States||0||United States||0-4 years||Both genders||All races||19912018||3836||6||0.1|
|0100000US||United States||0||United States||5-9 years||Both genders||All races||20501982||25305||6||0.1|
|0100000US||United States||0||United States||65 years and over||Male||All races||19539678||2545||44||0.1|
|0100000US||United States||0||United States||15-19 years||Both genders||All races||21354481||7534||7||0.1|
|0100000US||United States||0||United States||20-24 years||Both genders||All races||22604232||8662||7||0.1|
|0100000US||United States||0||United States||65-74 years||Both genders||All races||25135167||4566||8||0.1|