using data from the federal statistical agencies to inspire students cause webinar, nov. 10, 2009...
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![Page 1: USING DATA FROM THE FEDERAL STATISTICAL AGENCIES TO INSPIRE STUDENTS CAUSE webinar, Nov. 10, 2009 Ron Wasserstein Executive Director, The American Statistical](https://reader030.vdocuments.mx/reader030/viewer/2022032704/56649d4d5503460f94a2bc44/html5/thumbnails/1.jpg)
USING DATA FROM THE FEDERAL STATISTICAL AGENCIES TO INSPIRE STUDENTS
CAUSE webinar, Nov. 10, 2009
Ron Wasserstein
Executive Director, The American Statistical Association
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Goals for this presentation
Inform you about the role and scope of the federal statistical agencies
Inspire you to explore a rich source of data to inspire your students
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Observations from many discussions with federal statisticians
An incredible array of data is collected by the federal government
Government statisticians are deeply invested in the quality of their data
They are open to the assessments of others to help improve quality and usability
Their methods are transparentThey want the data to be used (not collected
for its own sake)
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Federal Statistical SystemA vast decentralized system of agencies
and departments within agenciesFifteen agencies make up the “principal
statistical agencies,” and collaborate via the Interagency Council on Statistical Policy (ICSP)
Katherine Wallman, former ASA President, is the Chief Statistician of the United States (OMB)
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Principal Statistical Agencies Bureau of Economic Analysis http://www.bea.gov/interactive.htm
Bureau of Justice Statistics http://www.ojp.usdoj.gov/bjs/ Bureau of Labor Statistics http://www.bls.gov/data/
Bureau of Transportation Statistics http://www.bts.gov/data_and_statistics/ Census Bureau http://www.census.gov/main/www/access.html,
http://dataferrett.census.gov/
Economic Research Service, Dept of Agriculture http://www.ers.usda.gov/Data/
Energy Information Administration http://www.ers.usda.gov/Data/
Environmental Protection Agency http://www.epa.gov/epahome/data.html, http://www.epa.gov/oar/airpolldata.html, http://www.epa.gov/triexplorer/
Internal Revenue Service, Statistics of Income http://www.irs.gov/taxstats/index.html
National Agricultural Statistics Service,
http://www.nass.usda.gov/Data_and_Statistics/Quick_Stats/index.asp National Center for Education Statistics, http://nces.ed.gov/datatools/,
http://nces.ed.gov/nationsreportcard/naepdata/ (explore NAEP data)
National Center for Health Statistics http://www.cdc.gov/nchs/data_access/datatools.htm, http://www.cdc.gov/nchs/VitalStats.htm
National Science Foundation, Science Resources Statistics, http://www.nsf.gov/statistics/database.cfm
Office of Management and Budget, http://www.gpoaccess.gov/usbudget/index.html Social Security Administration, Office of Policy, http://www.ssa.gov/policy/
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Three data “warehouses”dataferret.census.govwww.fedstats.govwww.data.gov
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So there’s a lot of data out there…
It is primarily designed to provide information to policy makers and to the public
As such it is not always in a format that makes it easy to use for classroom purposes
However, there is increasing interest in making classroom-ready materials.
Much of the data is tabular, but there is also plenty of micro-data at varying levels of complexity
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Accessing this data is a lot like riding a roller coaster, says the EPA’s David Mintz:
There is great anticipation at the beginning
The middle can be a little scary
If you don’t throw up, the end is quite rewarding.
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What can we do with this data?Illustrate basic concepts with data
students care aboutDiscuss difficulties associated with good
data collectionInteresting and relevant examples for
class, homework, projects, examsConvince students of relevance of our
discipline(Perhaps, and where appropriate)
connect to students’ interests in societal concerns
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Data always have limitations
DATA IN USE.Proceed with
understanding.
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Let’s teach “Responsible skepticism”
Ignorant skeptic Responsib
le skeptic
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Some examples - BJS
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http://www.ojp.usdoj.gov/bjs/glance/race.htm
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http://www.ojp.usdoj.gov/bjs/glance/tables/racetab.htm
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Bureau of Transportation Statistics
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http://www.bts.gov/programs/economics_and_finance/air_travel_price_index/html/table_12.html
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http://www.bts.gov/xml/atpi/src/resultTop100.xml
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Average adjusted gross income of the top 400 US individual taxpayers, 1992-2006(in $1000)
1992 46,7901993 46,3201994 46,1671995 50,8631996 74,7091997 93,0421998 110,4881999 133,8582000 173,9162001 131,0992002 104,0592003 131,2422004 172,7772005 213,9142006 263,306
http://www.irs.gov/taxstats/article/0,,id=203102,00.html
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Not made it into the top 400 yet?
Don’t feel too bad. Few stay there once they do!
Only about 27% made the list more than once in the last 15 years, and only about 15% made it more than twice.
http://www.irs.gov/pub/irs-soi/06intop400.pdf
Number of years in top 400
Number of primary filers in
group1 2,3942 4083 1734 975 626 347 318 219 17
10 1311 1212 1213 1714 615 8
3,305
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No. of returns % of totalcumulative % of total
No adjusted gross income 2,675,594 1.93% 1.93%
$1 under $5,000 11,633,370 8.41% 10.34%
$5,000 under $10,000 11,786,747 8.52% 18.86%
$10,000 under $15,000 11,711,680 8.46% 27.32%
$15,000 under $20,000 10,937,694 7.90% 35.22%
$20,000 under $25,000 9,912,261 7.16% 42.38%
$25,000 under $30,000 8,749,761 6.32% 48.71%
$30,000 under $40,000 14,151,824 10.23% 58.93%
$40,000 under $50,000 10,687,193 7.72% 66.65%
$50,000 under $75,000 18,854,917 13.62% 80.28%
$75,000 under $100,000 11,140,408 8.05% 88.33%
$100,000 under $200,000 12,088,423 8.73% 97.06%
$200,000 under $500,000 3,121,485 2.26% 99.32%
$500,000 under $1,000,000 589,306 0.43% 99.74%
$1,000,000 under $1,500,000 150,431 0.11% 99.85%
$1,500,000 under $2,000,000 64,007 0.05% 99.90%
$2,000,000 under $5,000,000 98,724 0.07% 99.97%
$5,000,000 under $10,000,000 24,975 0.02% 99.99%
$10,000,000 or more 15,956 0.01% 100.00%
138,394,754 100.0
Distribution of adjusted gross income, individual taxpayers, 2006
(percentages are estimates based on samples)
http://www.irs.gov/pub/irs-soi/06in11si.xls
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Average weekly retail price of gasoline (cents per gallon), Ohio, 2003-2009 http://tonto.eia.doe.gov/dnav/pet/pet_pri_gnd_dcus_soh_w.htm
May 2
6, 2003
May 2
6, 2004
May 2
6, 2005
May 2
6, 2006
May 2
6, 2007
May 2
6, 2008
May 2
6, 2009
0
50
100
150
200
250
300
350
400
450
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Gas prices, Ohio & Florida, 2003-2009 (blue line is Ohio)
May 2
6, 2
003
May 2
6, 2
004
May 2
6, 2
005
May 2
6, 2
006
May 2
6, 2
007
May 2
6, 2
008
May 2
6, 2
009
0
50
100
150
200
250
300
350
400
450
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Where do they get this stuff?
http://www.eia.doe.gov/pub/oil_gas/petroleum/survey_forms/eia878f.pdf
http://www.eia.doe.gov/oil_gas/petroleum/data_publications/wrgp/sampling_methodology.html
Every Monday, retail prices for all three grades of gasoline are collected by telephone from a sample of approximately 900 retail gasoline outlets. The prices are published by 5:00 P.M. Monday, except on government holidays, when the data are released on Tuesday (but still represent Monday's price). The reported price includes all taxes and is the pump price paid by a consumer as of 8:00 A.M. Monday. This price represents the self-serve price except in areas having only full-serve. The price data are used to calculate weighted average price estimates at the city, state, regional and national levels using sales and delivery volume data from other EIA surveys and population estimates from the Bureau of Census.
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Ohio vs. Michigan in…Annual turkey production
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Year State
Number Raised
(thousand head)
Pounds Produced
(thousand pounds)
Price per Unit ($/lb)
Value of production
($1,000)1999Michigan 2700 85590 0.41 35,0921999Ohio 4700 172020 0.35 60,2072000Michigan 3500 119000 0.34 40,4602000Ohio 4400 165000 0.36 59,4002001Michigan 4500 162000 0.35 56,7002001Ohio 4800 181440 0.35 63,5042002Michigan 4800 179520 0.35 62,8322002Ohio 5700 218880 0.35 76,6082003Michigan 4900 187180 0.34 63,6412003Ohio 5500 212300 0.39 82,7972004Michigan 4900 183750 0.37 67,9882004Ohio 5800 219820 0.42 92,3242005Michigan 4600 172500 0.37 63,8252005Ohio 6000 223800 0.44 98,4722006Michigan 4700 178600 0.39 69,6542006Ohio 5800 216920 0.43 93,2762007Michigan 5100 191760 0.46 88,2102007Ohio 6000 227400 0.46 104,6042008Michigan 48002008Ohio 6000 230400 0.58 133,632
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Which state raises the most turkeys?
(www.ncturkeyfestival.org)
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http://www.eia.doe.gov/cneaf/electricity/esr/table5.html
Census Division State
Number of Consumers
Average Monthly Consumption (kWh)
Average Retail Price (Cents per Kilowatthour)
Average Monthly Bill (Dollar and cents)
East North Central 19,558,522 830 9.74 $80.84
IL 5,065,123 790 10.12 $80.01
IN 2,727,752 1,058 8.26 $87.44
MI 4,298,455 686 10.21 $70.02
OH 4,894,635 926 9.57 $88.60
WI 2,572,557 725 10.87 $78.75
Another Ohio vs. Michigan comparison
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From NHANES food security questionnaire
Real questions, real data about real issues
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Social Security data
Age and family
status a1959 1970 1980 1985 1990 b 1995 2000 2005 2006
All ages176.5 202.5 225 236.6 248.6 263.7 275.9 293.1 296.4
All ages22.4 12.6 13 14 13.5 13.8 11.3 12.6 12.3
Total population c (millions)
Percentage poor c
http://ssa.gov/policy/docs/statcomps/supplement/2008/3e.html#table3.e2
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Social Security data
http://ssa.gov/policy/docs/statcomps/supplement/2008/5a.html#table5.a1
Average Average Average Average
monthly monthly monthly monthly
benefit benefit benefit benefit
(dollars) (dollars) (dollars) (dollars)
Total, OASDI
49,864,838 987 40,887,616 1,023.50 5,125,460 842.9 3,685,248 792.1
Number Number Number
Table 5.A1—Number and average monthly benefit, by type of benefit and race, December 2007
Type of benefit
All races a White Black Other b
Number
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U S Air
Sky West
Comair
A A
Airtran
UA
DL
NW
SW
Exp Jet
American Eagle
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I’m just wondering…If our students are asking “When
will I ever use this stuff?”, is it possible we’re showing them the wrong stuff?