Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Grant County, IN
Series ID MHICILBIN18053A052NCEN
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 24255
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27908
1994-01-01 .
1995-01-01 28776
1996-01-01 .
1997-01-01 31194
1998-01-01 32300
1999-01-01 33148
2000-01-01 34098
2001-01-01 33521
2002-01-01 33574
2003-01-01 34490
2004-01-01 34950
2005-01-01 34080
2006-01-01 36249
2007-01-01 35045
2008-01-01 35716
2009-01-01 35792
2010-01-01 33938
2011-01-01 35451
2012-01-01 36738
2013-01-01 36771
2014-01-01 37508
2015-01-01 37188
2016-01-01 36813
2017-01-01 41861
2018-01-01 42315
2019-01-01 44184
2020-01-01 45952
2021-01-01 46134
2022-01-01 48163

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