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BOSTON COLLEGE Statistical Data Catalog - Local Server Access

Statistical Datasets in category A0: Census Enumerations


·  Enumeration Districts, 1970, 1980

Enumeration Districts (EDs) are the most basic work units for the CensusBureau. It is the area assigned to a single enumerator. EDs do not cross the boundaries of legal or of statistical areas, but are otherwise drawnso as to be bounded by roads and other natural features. EDs may be redrawn and renumbered for each decennial census. ED-level data are available only in untracted, unblocked areas, i.e., those areas for which tract- and BNA-level data are not available. ED-level data can therefore be used in combination with tract/BNA data to obtain complete national coverage for "neighborhoods" in both urban and rural areas.

These data were acquired from the Contextual Data Archive (CDA) of Sociometrics Corporation. Funding for data acquisition, and processing was provided by the National Institute of Child Health and Human Development under Grant No. 2-R44-HD32290 to Sociometrics Corporation.

List of variables for CDA-A1

List of variables for CDA-A2

Documentation

Variable Notes

Stata format (in gzipped form):

cdaa1.dta.gz 15 Mb

cdaa2.dta.gz 14 Mb

SPSS portable format (in gzipped form):

cdaa1.por.gz   14 Mb

cdaa2.por.gz   13 Mb

·  Census Tracts/BNAs, 1970, 1980, 1990

Census Tracts and BNAs are small, relatively permanent statistical subdivisions of a county. Census tracts are delineated for all metropolitan areas and other densely populated counties by local census statistical areas committees following Census Bureau guidelines. Census tracts usually have between 2,500 and 8,000 persons and when first delineated, were designed to be homogeneous with respect to population and characteristics, economic status, and living conditions. Census tracts do not cross state or county boundaries. In all but a very small number of cases in New England, census tracts do not cross metropolitan area boundaries.

These data were acquired from the Contextual Data Archive (CDA) of Sociometrics Corporation. Funding for data acquisition, and processing was provided by the National Institute of Child Health and Human Development under Grant No. 2-R44-HD32290 to Sociometrics Corporation.

List of variables for CDA-B1

List of variables for CDA-B2

List of variables for CDA-B3,B4

Documentation

Variable Notes

Stata format (in gzipped form):

cdab1.dta.gz  30 Mb

cdab2.dta.gz  54 Mb

cdab33b4.dta.gz  77 Mb

SPSS portable format (in gzipped form):

cdab1.por.gz   29 Mb

cdab2.por.gz   49 Mb

cdab3b4.por.gz   70 Mb

·  Five-digit Zip Codes, 1970, 1980, 1990

ZIP Codes are administrative units established by the United States Postal Service (USPS) for the most efficient distribution of mail, and therefore generally do not respect political or census statistical area boundaries. ZIP Codes usually do not have clearly identifiable boundaries. They often serve a continually changing area; are changed periodically to meet postal requirements, and do not cover all the land area of the United States. ZIP Codes are a possible substitute for "neighborhood" if tract, BNA, and enumeration district are not available.

These data were acquired from the Contextual Data Archive (CDA) of Sociometrics Corporation. Funding for data acquisition, and processing was provided by the National Institute of Child Health and Human Development under Grant No. 2-R44-HD32290 to Sociometrics Corporation.

List of variables for CDA-D1

List of variables for CDA-D2

List of variables for CDA-D3

Documentation

Variable Notes

Stata format (in gzipped form):

cdad1.dta.gz   3 Mb

cdad2.dta.gz   11 Mb

cdad3.dta.gz   11 Mb

SPSS portable format (in gzipped form):

cdad1.por.gz   3 Mb

cdad2.por.gz   10 Mb

cdad3.por.gz   10 Mb

·  Divisions/MCDs 1970, 1980, 1990

Minor civil divisions (MCD's) are the primary political or administrative divisions of a county and represent many different kinds of legal entities with a wide variety of governmental and/or administrative functions. MCD's are variously designated as American Indian reservations, assessment districts, boroughs, election districts, gores, grants, magisterial districts, parish governing authority districts, plantations, precincts, purchases, supervisors' districts, towns, and townships.

These data were acquired from the Contextual Data Archive (CDA) of Sociometrics Corporation. Funding for data acquisition, and processing was provided by the National Institute of Child Health and Human Development under Grant No. 2-R44-HD32290 to Sociometrics Corporation.

List of variables for CDA-F1

List of variables for CDA-F2

List of variables for CDA-F3

Documentation

Variable Notes

Stata format (in gzipped form):

cdaf1.dta.gz   10 Mb

cdaf2.dta.gz   12 Mb

cdaf3.dta.gz   13 Mb

SPSS portable format (in gzipped form):

cdaf1.por.gz   10 Mb

cdaf2.por.gz   11 Mb

cdaf3.por.gz   12 Mb

·  School Districts, 1990

A public school district is an area whose public schools are administratively affiliated with a local education agency recognized by the state education agency as responsible for implementing the state's elementary and secondary public education program. While most areas of the U.S. are covered by one or more school districts, there are parts of some states that are not covered by any school district. These areas are referred to as "balance of county" areas and treated as "pseudo" school districts in the data set. In all or parts of some states, school districts are coextensive with counties, MCDs, places, or combinations thereof; in other areas, they have virtually no relationship to other census geography, and may even split blocks.

These data were acquired from the Contextual Data Archive (CDA) of Sociometrics Corporation. Funding for data acquisition, and processing was provided by the National Institute of Child Health and Human Development under Grant No. 2-R44-HD32290 to Sociometrics Corporation.

List of variables for CDA-G1

Documentation

Variable Notes

Stata format (in gzipped form):

cdag1g2.dta.gz  22 Mb

SPSS portable format (in gzipped form):

cdag1g2.por.gz   19 Mb

·  Places (discrete settlements), 1970, 1980, 1990

Typically, places are discrete settlements, usually occupying only a portion of the county in which they are located. Places may extend across county boundaries but never across state boundaries. Census places are of two types - Incorporated Places, such as cities, villages, or towns, which have legally prescribed powers and functions; and Census Designated Places, (CDPs, previously "unincorporated areas"), which are densely settled areas (at least 1,000 persons per square mile) with a locally-used distinctive name. Places are a possible substitute for "neighborhood" if tract, block numbering area, and enumeration district are unavailable.

These data were acquired from the Contextual Data Archive (CDA) of Sociometrics Corporation. Funding for data acquisition, and processing was provided by the National Institute of Child Health and Human Development under Grant No. 2-R44-HD32290 to Sociometrics Corporation.

List of variables for CDA-H1

List of variables for CDA-H2

List of variables for CDA-H3

Documentation

Variable Notes

Stata format (in gzipped form):

cdah1.dta.gz  2 Mb

cdah2.dta.gz  7 Mb

cdah3.dta.gz  9 Mb

SPSS portable format (in gzipped form):

cdah1.por.gz   2 Mb

cdah2.por.gz   6 Mb

cdah3.por.gz   7 Mb

·  Cities, 1990

The term "city" in the CDA refers to incorporated places with a 1990 population of 25,000 or more. Incorporated places in this data set are those reported to the Census Bureau as legally in existence on January 1, 1990, under the laws of their respective states as cities, boroughs, towns, and villages.

These data were acquired from the Contextual Data Archive (CDA) of Sociometrics Corporation. Funding for data acquisition, and processing was provided by the National Institute of Child Health and Human Development under Grant No. 2-R44-HD32290 to Sociometrics Corporation.

List of variables for CDA-I1

Documentation

Variable Notes

Stata format (in gzipped form):

cdai1.dta.gz  529 Kb

SPSS portable format (in gzipped form):

cdai1.por.gz   100 Kb

·  Counties, 1970-1995

The primary political divisions of most States are termed “counties.” In Louisiana, these divisions are known as “parishes.” In Alaska, the equivalent areas are of two types: 1) the organized “boroughs” and 2) the “census areas” that were developed for general statistical purposes by the State of Alaska and the Census Bureau. Four States—Maryland, Missouri, Nevada, and Virginia—have one or more incorporated places that are legally independent of any county and thus constitute primary divisions (county equivalents) of their States. Similarly, the portion of Yellowstone National Park in Montana is treated as a county equivalent. The District of Columbia has no primary divisions; the entire area is considered equivalent to a county for census purposes.

These data were acquired from the Contextual Data Archive (CDA) of Sociometrics Corporation. Funding for data acquisition, and processing was provided by the National Institute of Child Health and Human Development under Grant No. 2-R44-HD32290 to Sociometrics Corporation.

List of variables for CDA-J1J5 - Part 1

List of variables for CDA-J1J5 - Part 2

List of variables for CDA-J1J5 - Part 3

List of variables for footnotes for CDA-J1J5

Documentation

Variable Notes

Stata/SE format (in gzipped form):

cdaj1j5.dta.gz  24 Mb

Footnotes in Stata format (in gzipped form):

cdaj1j5f.dta.gz 1 Mb

Stata/SE is available on the Unix systems econ.bc.edu, ecsa200.bc.edu, and goanna.bc.edu, and may be acquired for desktop systems. You need at least 60 Mb RAM to work with this file. You may use Stata/SE or Stat/Transfer on one of the Unix systems to create a subset file that may be used with standard (Intercooled) Stata, and will require much less RAM. SPSS portable format (in gzipped form):

cdaj1j5.por.gz   23 Mb

cdaj1j5f.por.gz   23 Mb

·  Labor Market Areas, 1970, 1980

A labor market area (LMA) is one or more counties with close economic ties defined by patterns of commuting to work. It is a geographically comprehensive "economic area" analogous to those represented by metropolitan statistical areas in urban areas.

These data were acquired from the Contextual Data Archive (CDA) of Sociometrics Corporation. Funding for data acquisition, and processing was provided by the National Institute of Child Health and Human Development under Grant No. 2-R44-HD32290 to Sociometrics Corporation.

List of variables for CDA-K1

List of variables for CDA-K2

Documentation

Variable Notes

Stata format (in gzipped form):

cdak1.dta.gz  1 Mb

cdak2.dta.gz  1 Mb

SPSS portable format (in gzipped form):

cdak1.por.gz   600 Kb

cdak2.por.gz   600 Kb

·  State Economic Areas, 1970, 1980

A state economic area (SEA) is a group of counties within a state, defined by topographic and economic similarities. It is a subdivision of an economic sub-region and a possible "economic area," with the advantage of being geographically comprehensive.

These data were acquired from the Contextual Data Archive (CDA) of Sociometrics Corporation. Funding for data acquisition, and processing was provided by the National Institute of Child Health and Human Development under Grant No. 2-R44-HD32290 to Sociometrics Corporation.

List of variables for CDA-L1

List of variables for CDA-L2

Documentation

Variable Notes

Stata format (in gzipped form):

cdal1.dta.gz   230 kb

cdal2.dta.gz  250 Kb

SPSS portable format (in gzipped form):

cdal1.por.gz   300 Kb

cdal2.por.gz   300 Kb

·  Metropolitan Statistical Areas, 1970, 1980, 1990

The U.S. Office of Management and Budget (OMB) defines metropolitan areas (MAs) according to published standards that are applied to Census Bureau data. The general concept of an MA is one of a large population nucleus, together with adjacent communities that have a high degree of economic and social integration with that nucleus. Some MAs are defined around two or more nuclei. Data set M1-M3 of the Contextual Data Archive includes socio-economic and demographic data for Metropolitan Statistical Areas (MSAs) in the US. M1 consists of data from the 1970s and has 280 cases and 338 variables. M2 covers data from the 1980s, and includes 556 variables for 363 cases. M3 covers data from the 1990s and includes 330 variables for 335 cases

These data were acquired from the Contextual Data Archive (CDA) of Sociometrics Corporation. Funding for data acquisition, and processing wasprovided by the National Institute of Child Health and Human Development under Grant No. 2-R44-HD32290 to Sociometrics Corporation.

List of variables for CDA-M1

List of variables for CDA-M2

List of variables for CDA-M3

List of variables for footnotes for CDA-M2

Documentation

Variable Notes

Stata format in gzipped form):

cdam1.dta.gz  192 Kb

cdam2.dta.gz  442 Kb

cdam3.dta.gz  270 Kb

Footnotes in Stata format (in gzipped form):

cdam2f.dta.gz  4 Kb

SPSS portable format (in gzipped form):

cdam1.por.gz   182 Kb

cdam2.por.gz   408 Kb

cdam2f.por.gz   6 Kb

cdam3.por.gz   258 Kb

·  Economic Sub-Regions, 1970, 1980

An economic sub-region is a group of two or more topographically and economically similar counties, often crossing state lines. It is a possible "economic area, "with the advantage of being geographically comprehensive.

These data were acquired from the Contextual Data Archive (CDA) of Sociometrics Corporation. Funding for data acquisition, and processing was provided by the National Institute of Child Health and Human Development under Grant No. 2-R44-HD32290 to Sociometrics Corporation.

List of variables for CDA-N1

List of variables for CDA-N2

Documentation

Variable Notes

Stata format (in gzipped form):

cdan1.dta.gz    62 Kb

cdan2.dta.gz  66 Kb

SPSS portable format (in gzipped form):

cdan1.por.gz   62 Kb

cdan2.por.gz   65 Kb

·  States, 1970-1995

States are the primary governmental divisions of the United States. The District of Columbia is treated as a statistical equivalent of a state for census purposes. Data set P1-P7 of the Contextual Data Archive includes data for all 50 states and the District of Columbia. This data set includes 6,321 variables and 51 cases.

These data were acquired from the Contextual Data Archive (CDA) of Sociometrics Corporation. Funding for data acquisition, and processing was provided by the National Institute of Child Health and Human Development under Grant No. 2-R44-HD32290 to Sociometrics Corporation.

List of variables for CDA-P1P7 - Part 1

List of variables for CDA-P1P7 - Part 2

List of variables for CDA-P1P7 - Part 3

List of variables for CDA-P1P7 - Part 4

List of variables for CDA-P1P7 - Part 5

Documentation

Variable Notes

Stata/SE format (in gzipped form):

cdap1p7.dta.gz   1 Mb

Stata/SE is available on the Unix systems econ.bc.edu, ecsa200.bc.edu, and goanna.bc.edu, and may be acquired for desktop systems. You may use Stata/SE or Stat/Transfer on one of the Unix systems to create a subset file that may be used with standard (Intercooled) Stata, and will require much less RAM.SPSS portable format (in gzipped form):

cdap1p7.por.gz   1 Mb


Last modified: 9 September 2004