Census Economic and Demographic Data
This data is currently for the 2000 Census. You must factor the age of the data into any analyses you undertake. This data is not available for the 2010 Census; instead you must use the American Community Data.
|Plot maps showing parameters using Color
code by DB field from the "Plot"
button menu on the database table display
window, picking a "Numeric" field.
This map shows a number of counties that have been merged together, and the number of Male PhDs from the SF3 data. The largest numbers are in Montgomery county northwest of the District of Columbia (the missing square). Federal institutions like NIH there employ large numbers of researchers.
|Number of males earning over $100K in each Census Block Group from SF3 data for Anne Arundel County.|
|We will divide the Males over 16 earning more than $100K by the
total number of makes over 16 with earnings. These field names
were selected when we modified the
Excel spreadsheet downloaded from the Census Bureau.
The "LINK-" in front of the field names indicates that the values come from the linked table, and are not included in the shapefile's DBF.
|Fraction of males earning over $100K in each Census Block Group from SF3 data.|
|Fraction of a white females over 25 with a graduate or
professional degree in each Census Block Group from SF3 data.
White areas within the county have no matches for this demographic (one such large region is BWI airport).
(Left) Fraction of males earning over $100K in each Census Block from SF3 data, with both the size and color reflecting the values. This map might be more effective over another base map, such as a shaded relief DEM.
(Right) True type symbol, with both the size and color reflecting the same values in the map to the left. This map is plotted on a grayed and subdued Tiger line map.
|Male-female and female-male ratios for those over 16 with
earnings from SF3 data.
Note that values > 1 are more clearly shown than those < 1.
On the male-female ratio, the small yellow block group is a college that was formerly all male and still has a large imbalance in the male-female ratio. The purple tract on the NW edge of the county is another institution with too many men, but its inhabitants have less choice about their monastic lifestyle.
|Male-female ratio for those over 16 with earnings from SF3 data.
Map overlaid on DEM shaded reflectance, and TIGER roads and streams overlaid.
|Fraction of population 22-29 years old from SF1 data.|
|Population Density, which shows the high and low population
This required computation of the area of each block group.
You can combine this analysis with other data:
European NUTS data: