Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Westmoreland County, PA
Series ID MHICIUBPA42129A052NCEN
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 1:09 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 27698
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31435
1994-01-01 .
1995-01-01 34907
1996-01-01 .
1997-01-01 36914
1998-01-01 38041
1999-01-01 38112
2000-01-01 39913
2001-01-01 40057
2002-01-01 41353
2003-01-01 42384
2004-01-01 43787
2005-01-01 44824
2006-01-01 45396
2007-01-01 47763
2008-01-01 48519
2009-01-01 48952
2010-01-01 48277
2011-01-01 48175
2012-01-01 51306
2013-01-01 52811
2014-01-01 55472
2015-01-01 55401
2016-01-01 58112
2017-01-01 62031
2018-01-01 60706
2019-01-01 62592
2020-01-01 63729
2021-01-01 66736
2022-01-01 73281

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