Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Warren County, PA
Series ID MHICILBPA42123A052NCEN
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 1:12 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 24501
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27535
1994-01-01 .
1995-01-01 29044
1996-01-01 .
1997-01-01 30754
1998-01-01 31903
1999-01-01 32717
2000-01-01 33946
2001-01-01 33510
2002-01-01 33211
2003-01-01 34130
2004-01-01 35083
2005-01-01 35752
2006-01-01 37278
2007-01-01 37943
2008-01-01 38980
2009-01-01 36977
2010-01-01 38440
2011-01-01 38585
2012-01-01 42538
2013-01-01 39043
2014-01-01 41148
2015-01-01 42619
2016-01-01 40366
2017-01-01 46508
2018-01-01 48151
2019-01-01 47900
2020-01-01 46040
2021-01-01 50116
2022-01-01 53160

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