Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Blackford County, IN
Series ID MHICILBIN18009A052NCEN
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 2:33 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 22495
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26559
1994-01-01 .
1995-01-01 28634
1996-01-01 .
1997-01-01 32073
1998-01-01 32950
1999-01-01 32751
2000-01-01 33762
2001-01-01 33227
2002-01-01 33563
2003-01-01 34165
2004-01-01 34312
2005-01-01 34278
2006-01-01 34856
2007-01-01 37375
2008-01-01 35151
2009-01-01 34594
2010-01-01 36035
2011-01-01 34866
2012-01-01 35776
2013-01-01 36067
2014-01-01 36061
2015-01-01 35899
2016-01-01 38362
2017-01-01 39135
2018-01-01 40658
2019-01-01 41280
2020-01-01 41877
2021-01-01 41903
2022-01-01 48877
2023-01-01 45379

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