1. School & Community Data
Nicole Branch, Instruction Librarian
Santa Clara University Library
Image courtesy of Flickr user Rosa Menkman.
2. Today we will…
• Critically analyze data & data sources
• Find data relevant to your high school &
community
• Find data relevant to Downtown College Prep
3. Finding Community Data & Statistics
Think about WHO might collect the data you are
interested and WHO might publish the results.
Government agencies
Non-government organizations
Academic institutions
Private sector
4. Finding Community Data & Statistics
Think about if the data/statistics you are looking
for will be made readily available.
Controversial/harmful data
Not broadly applicable data
5. Finding Community Data & Statistics
Think about your timeframe & geography
Lag time for publication
Sampling and geographic specificity
6. Critiquing Data & Data Sources
Who is the source of the data?
Does the source of the data have a bias/interest in
the data and how might this impact how the data
was collected or analyzed?
What is the sample size and how was the data
collected?
What is the larger context of the data?
Correlations are not causations.
14. What might be an issue with the
reliability of these statistics?
California Health Kids Survey, San Jose Unified Secondary, 2010.
15. School Data Sources
• DataQuest
o California Department of Education
o California Healthy Schools Survey
• School Accountability Report Cards (SARC)
o State data
o Required by federal law for schools receiving
public funding.
16. School Data Exercise
• Find a SARC for your school & Downtown
College Prep
• Use DataQuest to find more school data
24. School & Community Exercise
• Find neighborhood data using the ACS:
Look up the address for the school and use the
ACS address search function to access census tract
data
If that address does not work in ACS, find a
residential address near the school
https://www.census.gov/geo/reference/gtc/gtc_ct.html
Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. A census tract usually covers a contiguous area; however, the spatial size of census tracts varies widely depending on the density of settlement. Census tract boundaries are delineated with the intention of being maintained over a long time so that statistical comparisons can be made from census to census. Census tracts occasionally are split due to population growth or merged as a result of substantial population decline.
http://www.lib.washington.edu/maps/GISfiles/Census/Ch10GARM%5B1%5D_census%20tract%20and%20BNAs.pdf
Census tracts are small, relatively permanent geographic entities within
counties (or the statistical equivalents of counties) delineated by a com-
mittee of local data users. Generally, census tracts have between 2,500
and 8,000 residents and boundaries that follow visible features. When first
established, census tracts are to be as homogeneous as possible with res-
pect to population characteristics, economic status, and living conditions. 2010
https://www.census.gov/geo/reference/gtc/gtc_ct.html
Census tracts generally have a population size between 1,200 and 8,000 people, with an optimum size of 4,000 people. A census tract usually covers a contiguous area; however, the spatial size of census tracts varies widely depending on the density of settlement. Census tract boundaries are delineated with the intention of being maintained over a long time so that statistical comparisons can be made from census to census. Census tracts occasionally are split due to population growth or merged as a result of substantial population decline.
http://www.lib.washington.edu/maps/GISfiles/Census/Ch10GARM%5B1%5D_census%20tract%20and%20BNAs.pdf
Census tracts are small, relatively permanent geographic entities within
counties (or the statistical equivalents of counties) delineated by a com-
mittee of local data users. Generally, census tracts have between 2,500
and 8,000 residents and boundaries that follow visible features. When first
established, census tracts are to be as homogeneous as possible with res-
pect to population characteristics, economic status, and living conditions. 2010