Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bartholomew County, IN
Series ID MHICILBIN18005A052NCEN
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 28708
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34091
1994-01-01 .
1995-01-01 37966
1996-01-01 .
1997-01-01 40359
1998-01-01 42151
1999-01-01 41706
2000-01-01 42964
2001-01-01 42298
2002-01-01 42267
2003-01-01 42873
2004-01-01 44215
2005-01-01 43226
2006-01-01 46216
2007-01-01 49954
2008-01-01 48504
2009-01-01 47095
2010-01-01 45284
2011-01-01 48675
2012-01-01 49695
2013-01-01 49865
2014-01-01 50726
2015-01-01 52186
2016-01-01 55339
2017-01-01 57676
2018-01-01 58636
2019-01-01 66643
2020-01-01 65942
2021-01-01 66516
2022-01-01 63325

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