Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Delaware County, IA
Series ID MHICILBIA19055A052NCEN
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 24049
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28476
1994-01-01 .
1995-01-01 28622
1996-01-01 .
1997-01-01 33817
1998-01-01 33883
1999-01-01 34948
2000-01-01 36413
2001-01-01 36927
2002-01-01 36976
2003-01-01 37636
2004-01-01 40587
2005-01-01 40942
2006-01-01 41099
2007-01-01 40026
2008-01-01 46466
2009-01-01 44605
2010-01-01 41961
2011-01-01 45759
2012-01-01 50409
2013-01-01 50296
2014-01-01 50285
2015-01-01 54737
2016-01-01 51878
2017-01-01 56683
2018-01-01 55628
2019-01-01 67131
2020-01-01 60025
2021-01-01 64095
2022-01-01 66767

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