Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bedford County, PA
Series ID MHICILBPA42009A052NCEN
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 1:53 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 19183
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22601
1994-01-01 .
1995-01-01 24903
1996-01-01 .
1997-01-01 27085
1998-01-01 28908
1999-01-01 30648
2000-01-01 31757
2001-01-01 31331
2002-01-01 31869
2003-01-01 32727
2004-01-01 33870
2005-01-01 34953
2006-01-01 35177
2007-01-01 36096
2008-01-01 37336
2009-01-01 38865
2010-01-01 35950
2011-01-01 38152
2012-01-01 39821
2013-01-01 46221
2014-01-01 44114
2015-01-01 43226
2016-01-01 41428
2017-01-01 44295
2018-01-01 47638
2019-01-01 50741
2020-01-01 46211
2021-01-01 48880
2022-01-01 50841

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