Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Spencer County, IN
Series ID MHICILBIN18147A052NCEN
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 3:13 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 25359
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30879
1994-01-01 .
1995-01-01 32922
1996-01-01 .
1997-01-01 35877
1998-01-01 37841
1999-01-01 38992
2000-01-01 40639
2001-01-01 40346
2002-01-01 40758
2003-01-01 41845
2004-01-01 43951
2005-01-01 41672
2006-01-01 44594
2007-01-01 47710
2008-01-01 50547
2009-01-01 44982
2010-01-01 44020
2011-01-01 49104
2012-01-01 52533
2013-01-01 47374
2014-01-01 49422
2015-01-01 52915
2016-01-01 53115
2017-01-01 51250
2018-01-01 51683
2019-01-01 53320
2020-01-01 58335
2021-01-01 56153
2022-01-01 62846
2023-01-01 74133

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