Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Henry County, IN
Series ID MHICILBIN18065A052NCEN
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 3:13 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 22767
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26926
1994-01-01 .
1995-01-01 29572
1996-01-01 .
1997-01-01 32366
1998-01-01 33902
1999-01-01 35296
2000-01-01 36844
2001-01-01 36412
2002-01-01 36790
2003-01-01 38253
2004-01-01 38611
2005-01-01 40300
2006-01-01 38315
2007-01-01 39501
2008-01-01 39404
2009-01-01 37048
2010-01-01 37616
2011-01-01 33896
2012-01-01 38411
2013-01-01 39657
2014-01-01 38955
2015-01-01 44888
2016-01-01 41939
2017-01-01 46196
2018-01-01 46907
2019-01-01 45307
2020-01-01 48321
2021-01-01 49322
2022-01-01 50388
2023-01-01 58358

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