Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Union County, PA
Series ID MHICILBPA42119A052NCEN
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 1:53 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 27496
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31004
1994-01-01 .
1995-01-01 32055
1996-01-01 .
1997-01-01 33539
1998-01-01 35887
1999-01-01 36135
2000-01-01 36645
2001-01-01 36728
2002-01-01 36448
2003-01-01 37121
2004-01-01 38071
2005-01-01 39069
2006-01-01 40743
2007-01-01 41231
2008-01-01 42039
2009-01-01 42055
2010-01-01 41451
2011-01-01 43664
2012-01-01 45162
2013-01-01 46581
2014-01-01 44495
2015-01-01 55498
2016-01-01 52115
2017-01-01 52819
2018-01-01 50771
2019-01-01 54885
2020-01-01 54576
2021-01-01 63781
2022-01-01 59879

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