Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Warren County, PA
Series ID MHICIUBPA42123A052NCEN
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 1:51 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 28812
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31885
1994-01-01 .
1995-01-01 35079
1996-01-01 .
1997-01-01 36954
1998-01-01 38035
1999-01-01 37306
2000-01-01 39444
2001-01-01 38446
2002-01-01 38153
2003-01-01 38771
2004-01-01 39869
2005-01-01 40187
2006-01-01 42733
2007-01-01 41919
2008-01-01 43406
2009-01-01 43302
2010-01-01 43576
2011-01-01 43295
2012-01-01 46394
2013-01-01 45043
2014-01-01 48154
2015-01-01 48105
2016-01-01 47426
2017-01-01 53068
2018-01-01 52957
2019-01-01 57284
2020-01-01 59418
2021-01-01 58030
2022-01-01 60254

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