Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Wells County, IN
Series ID MHICIUBIN18179A052NCEN
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 2:31 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 32859
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38459
1994-01-01 .
1995-01-01 42698
1996-01-01 .
1997-01-01 45362
1998-01-01 46636
1999-01-01 45798
2000-01-01 48227
2001-01-01 46786
2002-01-01 46797
2003-01-01 47252
2004-01-01 48624
2005-01-01 49423
2006-01-01 52375
2007-01-01 48448
2008-01-01 55793
2009-01-01 51811
2010-01-01 48619
2011-01-01 52384
2012-01-01 52736
2013-01-01 53071
2014-01-01 55291
2015-01-01 61065
2016-01-01 60769
2017-01-01 59515
2018-01-01 64933
2019-01-01 68414
2020-01-01 74472
2021-01-01 72797
2022-01-01 76913
2023-01-01 77656

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