Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Lagrange County, IN
Series ID MHICILBIN18087A052NCEN
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 24951
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30647
1994-01-01 .
1995-01-01 33646
1996-01-01 .
1997-01-01 35466
1998-01-01 37915
1999-01-01 39681
2000-01-01 40880
2001-01-01 39776
2002-01-01 40438
2003-01-01 41710
2004-01-01 43953
2005-01-01 46039
2006-01-01 44676
2007-01-01 46936
2008-01-01 47399
2009-01-01 42309
2010-01-01 40824
2011-01-01 39903
2012-01-01 45220
2013-01-01 48072
2014-01-01 48868
2015-01-01 53130
2016-01-01 55957
2017-01-01 59282
2018-01-01 60626
2019-01-01 66180
2020-01-01 69126
2021-01-01 75615
2022-01-01 73714

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