Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mercer County, PA
Series ID MHICILBPA42085A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:32 AM 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 22705
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24891
1994-01-01 .
1995-01-01 27133
1996-01-01 .
1997-01-01 28916
1998-01-01 30124
1999-01-01 31688
2000-01-01 32957
2001-01-01 32105
2002-01-01 32365
2003-01-01 33511
2004-01-01 34284
2005-01-01 36530
2006-01-01 36218
2007-01-01 39053
2008-01-01 38639
2009-01-01 41257
2010-01-01 38313
2011-01-01 40100
2012-01-01 39351
2013-01-01 41931
2014-01-01 41297
2015-01-01 43814
2016-01-01 47082
2017-01-01 44389
2018-01-01 45763
2019-01-01 51701
2020-01-01 47003
2021-01-01 50005
2022-01-01 53184
2023-01-01 59551

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