Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Crawford County, PA
Series ID MHICILBPA42039A052NCEN
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 1:11 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 21618
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24736
1994-01-01 .
1995-01-01 26324
1996-01-01 .
1997-01-01 28812
1998-01-01 30367
1999-01-01 31467
2000-01-01 32364
2001-01-01 31362
2002-01-01 31301
2003-01-01 31962
2004-01-01 33267
2005-01-01 34402
2006-01-01 34470
2007-01-01 35054
2008-01-01 38380
2009-01-01 36160
2010-01-01 36004
2011-01-01 38715
2012-01-01 39396
2013-01-01 41682
2014-01-01 41530
2015-01-01 43736
2016-01-01 42698
2017-01-01 45973
2018-01-01 48486
2019-01-01 46482
2020-01-01 47718
2021-01-01 51920
2022-01-01 52382

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