Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for De Kalb County, IN
Series ID MHICILBIN18033A052NCEN
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 27854
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33489
1994-01-01 .
1995-01-01 36496
1996-01-01 .
1997-01-01 39552
1998-01-01 41615
1999-01-01 41852
2000-01-01 43020
2001-01-01 42396
2002-01-01 42780
2003-01-01 42982
2004-01-01 44028
2005-01-01 41937
2006-01-01 43711
2007-01-01 45519
2008-01-01 45136
2009-01-01 41685
2010-01-01 43051
2011-01-01 42129
2012-01-01 44487
2013-01-01 46506
2014-01-01 49614
2015-01-01 47914
2016-01-01 48515
2017-01-01 49817
2018-01-01 54105
2019-01-01 54194
2020-01-01 54447
2021-01-01 58354
2022-01-01 67269

Subscribe to the FRED newsletter


Follow us

Back to Top