Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Delaware County, IN
Series ID MHICILBIN18035A052NCEN
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 23872
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26671
1994-01-01 .
1995-01-01 28648
1996-01-01 .
1997-01-01 31081
1998-01-01 32271
1999-01-01 32136
2000-01-01 33214
2001-01-01 32626
2002-01-01 32496
2003-01-01 33162
2004-01-01 33644
2005-01-01 33335
2006-01-01 33764
2007-01-01 36048
2008-01-01 37449
2009-01-01 33482
2010-01-01 34686
2011-01-01 35002
2012-01-01 35390
2013-01-01 35018
2014-01-01 36898
2015-01-01 38687
2016-01-01 38779
2017-01-01 39438
2018-01-01 39846
2019-01-01 42411
2020-01-01 43380
2021-01-01 48306
2022-01-01 50700

Subscribe to the FRED newsletter


Follow us

Back to Top