Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Bartholomew County, IN
Series ID MHICIUBIN18005A052NCEN
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 33207
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38631
1994-01-01 .
1995-01-01 44149
1996-01-01 .
1997-01-01 46512
1998-01-01 48213
1999-01-01 47512
2000-01-01 49897
2001-01-01 48583
2002-01-01 48550
2003-01-01 48651
2004-01-01 50153
2005-01-01 49117
2006-01-01 53146
2007-01-01 56837
2008-01-01 55195
2009-01-01 52680
2010-01-01 52806
2011-01-01 56663
2012-01-01 57255
2013-01-01 58817
2014-01-01 57476
2015-01-01 58974
2016-01-01 64191
2017-01-01 66210
2018-01-01 67498
2019-01-01 75719
2020-01-01 75148
2021-01-01 78400
2022-01-01 74495

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