Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Johnson County, IN
Series ID MHICILBIN18081A052NCEN
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 32167
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38614
1994-01-01 .
1995-01-01 42880
1996-01-01 .
1997-01-01 45825
1998-01-01 48211
1999-01-01 48600
2000-01-01 50206
2001-01-01 49938
2002-01-01 50345
2003-01-01 50921
2004-01-01 52289
2005-01-01 53792
2006-01-01 58678
2007-01-01 56233
2008-01-01 59144
2009-01-01 54539
2010-01-01 55384
2011-01-01 57136
2012-01-01 58704
2013-01-01 55393
2014-01-01 54386
2015-01-01 64784
2016-01-01 62501
2017-01-01 66385
2018-01-01 65308
2019-01-01 69914
2020-01-01 69810
2021-01-01 73923
2022-01-01 77553
2023-01-01 85776

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