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Data sets shared by StatCrunch members
Showing 1 to 15 of 47 data sets matching labor
| Data Set/Description |
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Last edited |
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US Workforce Participation
This data primarily comes from two sources: Federal Reserve Bank of St. Louis and the US Bureau of Labor Statistics .
| Column | Description | | Year | The calendar year for each value | | Annual Average Workforce Participation | Defined by the Bureau of Labor Statistics as "the percentage of the population [16 years and older] that is either employed or unemployed (that is, either working or actively seeking work). Note that 2015's Annual Average is calculated using the first 11 months." | | Male Workforce Participation Rate | Annual workforce participation rate for males. | | Female Workforce Participation Rate | Annual workforce participation rate for females. | | Male Inactivity Rate Aged 25-54 | Defined as the proportion of the male population aged 25-54 that is not in the labour force. Common reasons for leaving labour force: college, retirement, stay at home, can't find work and no longer try. | | Change in Rate (Male Inactivity Rate Aged 25-54) | The change in the inactivity rate calculated as the current year minus the previous year. | | Female Inactivity Rate Aged 25-54 | Defined as the proportion of the female population aged 25-54 that is not in the labour force. | | Change in Rate (Female Inactivity Rate Aged 25-54) | The change in the inactivity rate calculated as the current year minus the previous year. | | Presidential Control | Political party of president. | | Senate Control | Political party of the Senate majority | | House Control | Political party of the House of Representatives majority. | | Legislative Branch (House and Senate) | Combined control of Senate and House of Representativs |
| statcrunch_featured | Jun 27, 2017 | 10KB | 3381 |
USDA Nutrition Data
This dataset has the nutritional values per serving size for a large variety of foods as calculated by the USDA.
US Department of Agriculture, Agricultural Research Service, Nutrient Data Laboratory. USDA National Nutrient Database for Standard Reference, Release 28. Version Current: September 2015. Internet: http://www.ars.usda.gov/nea/bhnrc/ndl | statcrunchhelp | Jan 13, 2016 | 832KB | 2162 |
Federal Food Assistance Participation
This primarily comes from the following source: United States Department of Agriculture: Food and Nutrition Service . This dataset also incorporates data from another StatCrunch dataset: US Workforce Participation
| Column | Description | | Year | The year for each data value | | Average Federal Food Assistance Participation in Thousands | Number of individuals in the US who took part in SNAP (Supplemental Nutrition Assistance Program) during the given year. | | % US Population on Federal Food Assitance | % of US population that is currently in the SNAP program and is receiving aid with food. | | Change of % (US Population on Federal Food Assistance) | The change in the percentage of the US population that is receiving food assistance from SNAP. | | Presidential Control | Political party of president. | | Senate Control | Political party of the Senate majority | | House Control | Political party of the House of Representatives majority. | | Legislative Branch (House and Senate) | Combined control of Senate and House of Representativs | | Male Inactivity Rate Aged 25-54 | Defined as the proportion of the male population aged 25-54 that is not in the labour force. Common reasons for leaving labour force: college, retirement, stay at home, can't find work and no longer try. | | Change of Rate (Male Inactivity Rate Aged 25-54) | The change in the inactivity rate calculated as the current year minus the previous year. | | Female Inactivity Rate Aged 25-54 | Defined as the proportion of the female population aged 25-54 that is not in the labour force. | | Change of Rate (Female Inactivity Rate Aged 25-54) | The change in the inactivity rate calculated as the current year minus the previous year. | | Annual Average Workforce Participation Rate | Defined by the Bureau of Labor Statistics as "the percentage of the population [16 years and older] that is either employed or unemployed (that is, either working or actively seeking work). Note that 2015's Annual Average is calculated using the first 11 months." | | Change of Rate (Annual Workforce Participation Rate) | The change in the workforce participation rate calculated as the current year minus the previous year. |
| statcrunchhelp | Jan 8, 2016 | 10KB | 1981 |
Top Rated Jobs 2014
This data is gathered from careercast.com and is available in it's original form at the source listed above. The dataset originally was created by Keisha Brown from Georgia Perimeter College.
| Column | Description | | Ranking | Ranking from 0 to 200 based on the combined “Overall Rating” | | Job | Title for the job. | | Median Annual Income | Based on Bureau of Labor Statistics | | Overall Rating | Combined rating based on income, stress, hiring outlook, and work environment. The lower the rating the better rated the job. | | Stress Rating | A rating from 1 to 200 estimating the overall stress level from the job. This essentially is a ranking with 1 being the least stressful job and 200 being the most stressful job. | | Hiring Outlook Rating | A rating from 1 to 200 estimating the overall stress level from the job. This essentially is a ranking with 1 being the best hiring outlook and 200 being the worst hiring outlook. | | Work Environment Rating | A rating from 1 to 200 estimating the overall stress level from the job. This essentially is a ranking with 1 being the best work environment and 200 being the worst work environment. |
| statcrunchhelp | Mar 14, 2016 | 9KB | 3114 |
Economics and Policy.xls
Growth RGDP: RGDP is real gross domestic product. The growth in real gross domestic product is the common measure of a country's economic health.
Unemployment Rate: The number of unemployed people divided by the number of people in the labor force. The labor force includes only those who have a job or who are seeking a job.
Employment Rate: The number of employed people divided by the working age population. The working age population includes all people from age 15 to 64, regardless of whether or not they are in the labor force.
Federal Revenue per GDP: The total amount of money the Federal government receives expressed as a fraction of the size of the economy (GDP).
Federal Spending per GDP: The total amount of money the Federal government spends expressed as a fraction of the size of the economy (GDP).
Federal Debt per GDP: The total Federal debt expressed as a fraction of the size of the economy (GDP). Here, Federal debt includes both public debt outstanding (money the Federal government has borrowed from people, companies, and foreign governments) and intergovernmental debt (money the Federal government has borrowed from the Social Security trust fund).
Top Federal Income Tax Rate: The Federal income tax rate paid by those in the highest tax bracket.
Recession: This variable is 1 if the country was in recession in the indicated year and 0 otherwise.
Democratic President: This variable is 1 if the President was a Democrat, 0 if the President was a Republican.
Seats in House Held by Democrats: The number of Democrats in the House of Representative as a fraction of the total number of Representatives. Due to a small number of independents, the fraction of seats held by Republicans is approximately (but not exactly) one minus the fraction of seats held by Democrats.
Seats in Senate Held by Democrats: The number of Democrats in the Senate as a fraction of the total number of Senators. Due to a small number of independents, the fraction of seats held by Republicans is approximately (but not exactly) one minus the fraction of seats held by Democrats.
War: This variable is 1 if the country was at war, 0 otherwise.
| adavies | Nov 2, 2010 | 8KB | 1526 |
US Workforce Participation
This data primarily comes from two sources: Federal Reserve Bank of St. Louis and the US Bureau of Labor Statistics .
| Column | Description | | Year | The calendar year for each value | | Annual Average Workforce Participation | Defined by the Bureau of Labor Statistics as "the percentage of the population [16 years and older] that is either employed or unemployed (that is, either working or actively seeking work). Note that 2015's Annual Average is calculated using the first 11 months." | | Male Workforce Participation Rate | Annual workforce participation rate for males. | | Female Workforce Participation Rate | Annual workforce participation rate for females. | | Male Inactivity Rate Aged 25-54 | Defined as the proportion of the male population aged 25-54 that is not in the labour force. Common reasons for leaving labour force: college, retirement, stay at home, can't find work and no longer try. | | Change in Rate (Male Inactivity Rate Aged 25-54) | The change in the inactivity rate calculated as the current year minus the previous year. | | Female Inactivity Rate Aged 25-54 | Defined as the proportion of the female population aged 25-54 that is not in the labour force. | | Change in Rate (Female Inactivity Rate Aged 25-54) | The change in the inactivity rate calculated as the current year minus the previous year. | | Presidential Control | Political party of president. | | Senate Control | Political party of the Senate majority | | House Control | Political party of the House of Representatives majority. | | Legislative Branch (House and Senate) | Combined control of Senate and House of Representativs |
| statcrunchhelp | Jan 7, 2016 | 10KB | 804 |
Low Birth Weight Study
SOURCE: Hosmer and Lemeshow (2000) Applied Logistic Regression: Second Edition
Data were collected at Baystate
Medical Center, Springfield, Massachusetts during 1986.
DESCRIPTIVE ABSTRACT:
The goal of this study was to identify risk factors associated with
giving birth to a low birth weight baby (weighing less than 2500 grams).
Data were collected on 189 women, 59 of which had low birth weight babies and 130 of which had normal birth weight babies. Four variables which were thought to be of importance were age, weight of the subject at her last menstrual period, race, and the number of physician visits during the first trimester of pregnancy.
LIST OF VARIABLES:
Columns Variable Abbreviation
-----------------------------------------------------------------------------
2-4 Identification Code ID
10 Low Birth Weight (0 = Birth Weight >= 2500g, LOW
1 = Birth Weight < 2500g)
17-18 Age of the Mother in Years AGE
23-25 Weight in Pounds at the Last Menstrual Period LWT
32 Race (1 = White, 2 = Black, 3 = Other) RACE
40 Smoking Status During Pregnancy (1 = Yes, 0 = No) SMOKE
48 History of Premature Labor (0 = None 1 = One, etc.) PTL
55 History of Hypertension (1 = Yes, 0 = No) HT
61 Presence of Uterine Irritability (1 = Yes, 0 = No) UI
67 Number of Physician Visits During the First Trimester FTV
(0 = None, 1 = One, 2 = Two, etc.)
73-76 Birth Weight in Grams BWT
-----------------------------------------------------------------------------
PEDAGOGICAL NOTES:
These data have been used as an example of fitting a multiple
logistic regression model.
STORY BEHIND THE DATA:
Low birth weight is an outcome that has been of concern to physicians
for years. This is due to the fact that infant mortality rates and birth
defect rates are very high for low birth weight babies. A woman's behavior
during pregnancy (including diet, smoking habits, and receiving prenatal care)
can greatly alter the chances of carrying the baby to term and, consequently,
of delivering a baby of normal birth weight.
The variables identified in the code sheet given in the table have been
shown to be associated with low birth weight in the obstetrical literature. The
goal of the current study was to ascertain if these variables were important
in the population being served by the medical center where the data were
collected.
References:
1. Hosmer and Lemeshow, Applied Logistic Regression, Wiley, (1989).
| wikipeterson | Jul 23, 2012 | 6KB | 7976 |
atus.csv
Large random sample of people asked to keep a time-use diary on a randomly chosen day of the year; First few columns are demographic variables, after which are variables that provide the number of minutes that person spent on a given activity during the day. Only a few activities from the complete survey (done by the Bureau of Labor Statistics) are provided. | rgould | Jun 17, 2014 | 4MB | 535 |
CPI
6-14-2012
U.S. Department Of Labor
Bureau of Labor Statistics
Washington, D.C. 20212
Consumer Price Index
All Urban Consumers - (CPI-U)
U.S. city average
All items
1982-84=100 | sbroad | Jul 16, 2012 | 8KB | 264 |
edit#gid=0
As part of the Math Leadership Corp (MLC) collaborative process, Teachers continually use student formative and summative data to improve their instructional practice and influence their colleagues through research informed coaching, co-planning, classroom observations, demonstrations and critical reflection of practice. Being part of the MLC program, Ms. Garcia’s has researched the role that questioning plays in the classroom from a students’ perspective. Using research she read from Make One Change, teach students to ask questions, she has decided to teach “students, rather than teachers, assume responsibility for posing questions”. She will gather categorical data to see if 80% of 8th grade students feel that asking questions in a math classroom is helpful and whether their is a relationship between asking questions and higher performance on math assessments.
The first and second column:
I found that posing and asking questions is helpful
Helpful (1)
just another thing to do (2)
not helpful (0)
I found that taking notes after discussing the questions with my peers was...
Helpful (1)
just another thing to do (2)
not helpful (0)
Third column are Interim scores
Fourth column Interim scale
Fifth column-- students who asked questions on Interim
Sixth column-- students grades on in class assessment
Seventh column -- students who asked questions on class assessment | ninibb1 | Jun 21, 2016 | 62KB | 306 |
Responses to IV fluid survey2
All raw data, cleaned up, from IV fluids in labor survey | kacarmack | Nov 8, 2014 | 57KB | 216 | Human vs Lightening acres
Acres of land burned in California from 2001 to 2018. Collected as part of an inter-agency collaboration. | marjiminor17 | Oct 26, 2019 | 438B | 4 | US Crime
These data are crime-related and demographic statistics for 47 US states in 1960. The data were collected from the FBI's Uniform Crime Report and other government agencies to determine how the variable crime rate depends on the other variables measured in the study.
Number of cases: 47 Reference:Vandaele, W. (1978) Participation in illegitimate activities: Erlich revisited. In Deterrence and incapacitation, Blumstein, A., Cohen, J. and Nagin, D., eds., Washington, D.C.: National Academy of Sciences, 270-335. Methods: A Primer, New York: Chapman & Hall, 11. Also found in: Hand, D.J., et al. (1994) A Handbook of Small Data Sets, London: Chapman & Hall, 101-103.
[Collinearity , Correlation , Causation , Lurking variable , Regression]
| Variable | Description |
| R | Crime rate # of offenses reported to police per million population |
| Age | The number of males of age 14-24 per 1000 population |
| S | Indicator variable for Southern states (0 = No, 1 = Yes) |
| Ed | Mean # of years of schooling x 10 for persons of age 25 or older |
| Ex0 | 1960 per capita expenditure on police by state and local government |
| Ex1 | 1959 per capita expenditure on police by state and local government |
| LF | Labor force participation rate per 1000 civilian urban males age 14-24 |
| M | The number of males per 1000 females |
| N | State population size in hundred thousands |
| NW | The number of non-whites per 1000 population |
| U1 | Unemployment rate of urban males per 1000 of age 14-24 |
| U2 | Unemployment rate of urban males per 1000 of age 35-39 |
| W | Median value of transferable goods and assets or family income in tens of $ |
| X | The number of families per 1000 earning below 1/2 the median income |
| ds-231%sc | Aug 11, 2008 | 2KB | 2380 | Wages and Hours
The data are from a national sample of 6000 households with a male head earning less than $15,000 annually in 1966. The data were clasified into 39 demographic groups for analysis. The study was undertaken in the context of proposals for a guaranteed annual wage (negative income tax). At issue was the response of labor supply (average hours) to increasing hourly wages. The study was undertaken to estimate this response from available data [ Regression , Outlier , Collinearity , Assumptions, regression]
| Variable | Description |
| HRS | Average hours worked during the year |
| WAGE | Average hourly wage ($) |
| ERSP | Average yearly earnings of spouse ($) |
| ERNO | Average yearly earnings of other family members ($) |
| NEIN | Average yearly non-earned income |
| ASSET | Average family asset holdings (Bank account, etc.) ($) |
| AGE | Average age of respondent |
| DEP | Average number of dependents |
| RACE | Percent of white respondents |
| SCHOOL | Average highest grade of school completed |
| ds-231%sc | Aug 11, 2008 | 2KB | 1660 | Female LFPR by city, 1968 and 1972
Labor force participation rate (LFPR) for U.S. women in 1968 and 1972 | benprytherch | Oct 11, 2014 | 760B | 1634 |
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