Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hendricks County, IN
Series ID MHICILBIN18063A052NCEN
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 36933
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 44178
1994-01-01 .
1995-01-01 49693
1996-01-01 .
1997-01-01 52460
1998-01-01 55263
1999-01-01 53384
2000-01-01 53964
2001-01-01 54073
2002-01-01 55907
2003-01-01 57831
2004-01-01 59217
2005-01-01 56472
2006-01-01 59420
2007-01-01 64844
2008-01-01 63662
2009-01-01 62915
2010-01-01 62692
2011-01-01 60366
2012-01-01 68894
2013-01-01 65075
2014-01-01 64698
2015-01-01 70689
2016-01-01 74085
2017-01-01 69627
2018-01-01 78407
2019-01-01 81344
2020-01-01 80176
2021-01-01 83726
2022-01-01 88239
2023-01-01 88442

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