Federal Reserve Economic Data

Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Crawford County, PA

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Crawford County, PA
Series ID MHICIUBPA42039A052NCEN
Source U.S. Census Bureau
Release Small Area Income and Poverty Estimates
Seasonal Adjustment Not Seasonally Adjusted
Frequency Annual
Units Dollars
Date Range 1989-01-01 to 2022-01-01
Last Updated 2023-12-14 1:09 PM CST
Notes The U.S. Census Bureau provides annual estimates of income and poverty statistics for all school districts, counties, and states through the Small Area Income and Poverty Estimates (SAIPE) program. The bureau's main objective with this program is to provide estimates of income and poverty for the administration of federal programs and the allocation of federal funds to local jurisdictions. In addition to these federal programs, state and local programs use the income and poverty estimates for distributing funds and managing programs.

Household income includes income of the householder and all other people 15 years and older in the household, whether or not they are related to the householder. Median is the point that divides the household income distributions into two halves: one-half with income above the median and the other with income below the median. The median is based on the income distribution of all households, including those with no income.

A confidence interval is a range of values, from the lower bound to the respective upper bound, that describes the uncertainty surrounding an estimate. A confidence interval is also itself an estimate. It is made using a model of how sampling, interviewing, measuring, and modeling contribute to uncertainty about the relation between the true value of the quantity we are estimating and our estimate of that value. The "90%" in the confidence interval listed above represents a level of certainty about our estimate. If we were to repeatedly make new estimates using exactly the same procedure (by drawing a new sample, conducting new interviews, calculating new estimates and new confidence intervals), the confidence intervals would contain the average of all the estimates 90% of the time. For more details about the confidence intervals and their interpretation, see this explanation.
DATE VALUE
1989-01-01 25900
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29063
1994-01-01 .
1995-01-01 32042
1996-01-01 .
1997-01-01 34669
1998-01-01 36195
1999-01-01 35712
2000-01-01 37380
2001-01-01 35864
2002-01-01 35796
2003-01-01 36145
2004-01-01 37639
2005-01-01 37373
2006-01-01 37593
2007-01-01 38290
2008-01-01 42292
2009-01-01 40471
2010-01-01 40600
2011-01-01 42835
2012-01-01 44116
2013-01-01 45904
2014-01-01 46408
2015-01-01 48242
2016-01-01 48078
2017-01-01 52115
2018-01-01 53124
2019-01-01 53000
2020-01-01 57026
2021-01-01 58362
2022-01-01 57166

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