Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Washington County, PA
Series ID MHICIUBPA42125A052NCEN
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 2:31 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 27631
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31410
1994-01-01 .
1995-01-01 34619
1996-01-01 .
1997-01-01 37820
1998-01-01 39425
1999-01-01 39316
2000-01-01 41481
2001-01-01 40851
2002-01-01 42215
2003-01-01 42970
2004-01-01 44460
2005-01-01 46407
2006-01-01 47649
2007-01-01 49535
2008-01-01 53151
2009-01-01 49937
2010-01-01 50464
2011-01-01 54416
2012-01-01 55923
2013-01-01 56675
2014-01-01 58218
2015-01-01 60706
2016-01-01 61227
2017-01-01 63447
2018-01-01 65232
2019-01-01 69258
2020-01-01 70105
2021-01-01 71407
2022-01-01 75244
2023-01-01 81295

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