Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Blair County, PA
Series ID MHICILBPA42013A052NCEN
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 1:11 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 21010
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24561
1994-01-01 .
1995-01-01 25503
1996-01-01 .
1997-01-01 27994
1998-01-01 28944
1999-01-01 30431
2000-01-01 32104
2001-01-01 31418
2002-01-01 31356
2003-01-01 32270
2004-01-01 33093
2005-01-01 32550
2006-01-01 37767
2007-01-01 39697
2008-01-01 37826
2009-01-01 36084
2010-01-01 38349
2011-01-01 40556
2012-01-01 39611
2013-01-01 39154
2014-01-01 40351
2015-01-01 42131
2016-01-01 41034
2017-01-01 43999
2018-01-01 45437
2019-01-01 47769
2020-01-01 46721
2021-01-01 51257
2022-01-01 54073

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