Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Henry County, IN
Series ID MHICIUBIN18065A052NCEN
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 3:12 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 27258
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31416
1994-01-01 .
1995-01-01 35687
1996-01-01 .
1997-01-01 38533
1998-01-01 39975
1999-01-01 40228
2000-01-01 42835
2001-01-01 41823
2002-01-01 42277
2003-01-01 43403
2004-01-01 43872
2005-01-01 45096
2006-01-01 44603
2007-01-01 45110
2008-01-01 45428
2009-01-01 42930
2010-01-01 43848
2011-01-01 39248
2012-01-01 44719
2013-01-01 44609
2014-01-01 44955
2015-01-01 51020
2016-01-01 48773
2017-01-01 51634
2018-01-01 53459
2019-01-01 53279
2020-01-01 59683
2021-01-01 56666
2022-01-01 59040
2023-01-01 65738

Subscribe to the FRED newsletter


Follow us

Back to Top