Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Clark County, IN
Series ID MHICIUBIN18019A052NCEN
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 2022-01-01
Last Updated 2023-12-14 1:53 PM 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 28925
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32693
1994-01-01 .
1995-01-01 37029
1996-01-01 .
1997-01-01 39724
1998-01-01 40951
1999-01-01 41588
2000-01-01 44159
2001-01-01 43068
2002-01-01 43103
2003-01-01 44207
2004-01-01 45628
2005-01-01 46005
2006-01-01 44723
2007-01-01 48256
2008-01-01 51622
2009-01-01 50311
2010-01-01 47268
2011-01-01 53340
2012-01-01 52113
2013-01-01 52531
2014-01-01 54451
2015-01-01 54721
2016-01-01 54482
2017-01-01 55526
2018-01-01 60692
2019-01-01 63440
2020-01-01 70668
2021-01-01 66762
2022-01-01 72676

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