Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Vigo County, IN
Series ID MHICILBIN18167A052NCEN
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 2:33 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 21353
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25677
1994-01-01 .
1995-01-01 27330
1996-01-01 .
1997-01-01 28931
1998-01-01 30121
1999-01-01 30707
2000-01-01 31699
2001-01-01 31130
2002-01-01 31461
2003-01-01 32528
2004-01-01 33564
2005-01-01 33377
2006-01-01 33818
2007-01-01 35289
2008-01-01 36198
2009-01-01 34935
2010-01-01 36324
2011-01-01 36559
2012-01-01 37648
2013-01-01 36074
2014-01-01 39272
2015-01-01 37108
2016-01-01 40750
2017-01-01 39310
2018-01-01 46002
2019-01-01 44315
2020-01-01 40387
2021-01-01 44144
2022-01-01 48159
2023-01-01 46342

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