Government 90dn Mapping the Census Lecture 2: Data from the Census: Strategies to understand and acquire it Sumeeta Srinivasan
[email protected] Reference: Unlocking the Census, Ch 2; www.census.gov
Standard Format for Classes Lecture (1 hour or less) Followed by or interspersed with discussion Discussion: based on article Lab Exercises (1-2 hours) – All due Nov 20th 2-? hours (may extend beyond class times) that should be ideally returned to the instructor before the next lab
Evaluation Lab exercises (5):
25%
5 points each for Labs 1-5
Final project:
55%
Proposal (5%), presentation (10%) and report (40%)
Participation:
20%
Final Project Project proposal by November 1st Should include spatial and non-spatial data description Background research (context) and motivation Research questions, Proposed methodology
Project presentation on December 5th or 12th Project summary report Jan 1st
Course Topics 1. 2.
3.
Introduction to Census Census Data Basics Data Types Databases Introducing Maps GIS Cartography
Applications Demography Economics Housing and Transportation
Research Methods Writing Proposals and Papers Quantitative methods
Geographic Information System Container of maps Spatial decision support system: Method for revealing patterns and processes in geographic information
Example: The Hispanic Population: 1990-2000 Growth and Change
Source: www.sabresystems.com/whitepapers/hispanic_population.pdf
Sources of Data US Census Local Agencies (Massgis in Massachusetts other State agencies in other states) Harvard Map Library
Linking to Internet Sites Geography Network Example
US Census www.census.gov z z
TIGER Maps Summary File (SF) Tables
Census Tracts (TIGER) Small, relatively permanent statistical subdivisions of counties delineated by local committees in accordance with Census Bureau guidelines between 1,000 and 8,000 people (in general) 1,700 housing units or 4,000 people homogeneous population characteristics (economic status and living conditions) normally follow visible features may follow governmental unit boundaries and other non visible features more than 60,000 census tracts in Census 2000
State Census Tracts
County Census Tracts
City Census Tracts
Census Blocks Groups Block groups (BGs) are the next level below census tracts in the geo-graphic hierarchy - a subdivision of a census tract -400 housing units, with a minimum of 250, and a maximum of 550 housing units -follow clearly visible features, such as roads, rivers, and railroads
Census Block Groups
Census Blocks Smallest geographic area for which the Census Bureau collects and tabulates decennial census information. Block boundaries are visible (street, road, stream, shoreline, etc.) or nonvisible (county line, city limit, property line, etc.) features.
Census Blocks
Other Census TIGER Layers
Summary File (SF) Tables American Factfinder
SF1 Tables
SF2 Tables
SF3 Tables
Download Census Data Table
Download Census Data Table
Data Types
Data Types Database Compatible
Clean Data in Excel
Delete unnecessary rows
Clear Formatting
Highlight Cells
Save Database Saved as .CSV or .DBF
Add in ArcMap (GIS)
Add Data Table in ArcMap
Download Shapefile
Add Shapefile
Select County Features and Export
Check Fields to Join Problem! Fields are not the same
Create New Fields
Ready to Join
Join Data
Fields Added to Tracts Table
Number Fields Quantities will only appear with number fields
Common Datasets
U.S. Census Maps and U.S. Census Tables
Common Datasets Zip Codes z
Use with U.S. Census data or Geocoding
Place Geocodes: FIPS Codes Federal Information Processing Standards Codes Developed by the National Institute of Standards and Technology Codes for Place Names Throughout the World countries states/provinces counties metropolitan statistical areas (MSA’s) cities places - indian reservations, airports, and post offices in the US
Place Geocodes: Hierarchy FIPS CODES Country: US State: 42 (Pennsylvania) County: 003 (Allegheny) Minor Civil Division: 85188 (Wilkinsburg) CENSUS CODES
Tract: 0501 Block Group: 3 Block: 12 (US420030501312) Parcel (Block & Lot#)
Keys All attributes or sets of attributes that have the property of row uniqueness are candidate keys
Examples
SQL Query SELECT * FROM Off199803 WHERE Context = “BURGLARY” ORDER BY Crnumber;
GIS RQBE
Result