Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clark County, IN
Series ID MHICILBIN18019A052NCEN
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 1:54 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 24534
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28255
1994-01-01 .
1995-01-01 31053
1996-01-01 .
1997-01-01 33718
1998-01-01 35014
1999-01-01 36610
2000-01-01 38139
2001-01-01 37673
2002-01-01 37682
2003-01-01 39105
2004-01-01 40343
2005-01-01 40310
2006-01-01 40601
2007-01-01 42644
2008-01-01 45522
2009-01-01 46257
2010-01-01 42282
2011-01-01 46216
2012-01-01 46215
2013-01-01 48061
2014-01-01 49649
2015-01-01 48507
2016-01-01 49192
2017-01-01 49966
2018-01-01 52856
2019-01-01 55442
2020-01-01 60442
2021-01-01 58882
2022-01-01 64310

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