Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Delaware County, IA
Series ID MHICIUBIA19055A052NCEN
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 1:11 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 28561
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33019
1994-01-01 .
1995-01-01 34907
1996-01-01 .
1997-01-01 40091
1998-01-01 40257
1999-01-01 39923
2000-01-01 42399
2001-01-01 42481
2002-01-01 42478
2003-01-01 42763
2004-01-01 46143
2005-01-01 46375
2006-01-01 47580
2007-01-01 47031
2008-01-01 52807
2009-01-01 52542
2010-01-01 49859
2011-01-01 54703
2012-01-01 59027
2013-01-01 58878
2014-01-01 61631
2015-01-01 63783
2016-01-01 61616
2017-01-01 64233
2018-01-01 67056
2019-01-01 73051
2020-01-01 72703
2021-01-01 75439
2022-01-01 81267

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