Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for De Kalb County, IN
Series ID MHICIUBIN18033A052NCEN
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 1:53 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 32341
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 37985
1994-01-01 .
1995-01-01 42606
1996-01-01 .
1997-01-01 45655
1998-01-01 47642
1999-01-01 47681
2000-01-01 49952
2001-01-01 48669
2002-01-01 49104
2003-01-01 48799
2004-01-01 50023
2005-01-01 48282
2006-01-01 49412
2007-01-01 52582
2008-01-01 52260
2009-01-01 47718
2010-01-01 50511
2011-01-01 50395
2012-01-01 51745
2013-01-01 54052
2014-01-01 54208
2015-01-01 56850
2016-01-01 56683
2017-01-01 58761
2018-01-01 63869
2019-01-01 65234
2020-01-01 70375
2021-01-01 71764
2022-01-01 78551

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