Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kosciusko County, IN
Series ID MHICILBIN18085A052NCEN
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 1:12 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 29185
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34206
1994-01-01 .
1995-01-01 36889
1996-01-01 .
1997-01-01 38912
1998-01-01 40938
1999-01-01 40891
2000-01-01 42249
2001-01-01 41986
2002-01-01 42398
2003-01-01 44252
2004-01-01 45987
2005-01-01 45199
2006-01-01 45951
2007-01-01 48480
2008-01-01 47661
2009-01-01 45009
2010-01-01 45048
2011-01-01 48551
2012-01-01 47343
2013-01-01 49134
2014-01-01 51662
2015-01-01 50574
2016-01-01 51824
2017-01-01 59374
2018-01-01 53673
2019-01-01 60511
2020-01-01 54817
2021-01-01 61847
2022-01-01 64784

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