Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Blair County, PA
Series ID MHICIUBPA42013A052NCEN
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 25260
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28866
1994-01-01 .
1995-01-01 31111
1996-01-01 .
1997-01-01 33753
1998-01-01 34687
1999-01-01 34468
2000-01-01 37009
2001-01-01 35897
2002-01-01 35826
2003-01-01 36457
2004-01-01 37409
2005-01-01 36540
2006-01-01 41662
2007-01-01 43595
2008-01-01 42444
2009-01-01 40623
2010-01-01 43841
2011-01-01 44420
2012-01-01 42697
2013-01-01 44358
2014-01-01 46335
2015-01-01 47629
2016-01-01 47360
2017-01-01 48145
2018-01-01 53051
2019-01-01 54239
2020-01-01 57633
2021-01-01 60429
2022-01-01 61695

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