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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Lagrange County, IN
Series ID MHICIUBIN18087A052NCEN
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 1:52 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 29455
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 35165
1994-01-01 .
1995-01-01 39840
1996-01-01 .
1997-01-01 41648
1998-01-01 44035
1999-01-01 45239
2000-01-01 47565
2001-01-01 45931
2002-01-01 46556
2003-01-01 47387
2004-01-01 49919
2005-01-01 51675
2006-01-01 52710
2007-01-01 54038
2008-01-01 54921
2009-01-01 48847
2010-01-01 47478
2011-01-01 44335
2012-01-01 50520
2013-01-01 55548
2014-01-01 55138
2015-01-01 60194
2016-01-01 64847
2017-01-01 67300
2018-01-01 74370
2019-01-01 75312
2020-01-01 75900
2021-01-01 85055
2022-01-01 88306

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