Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Dubuque County, IA
Series ID MHICILBIA19061A052NCEN
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 26202
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30600
1994-01-01 .
1995-01-01 33348
1996-01-01 .
1997-01-01 35898
1998-01-01 36931
1999-01-01 37176
2000-01-01 38285
2001-01-01 37990
2002-01-01 38514
2003-01-01 39207
2004-01-01 40843
2005-01-01 41699
2006-01-01 43414
2007-01-01 44188
2008-01-01 45818
2009-01-01 44481
2010-01-01 47259
2011-01-01 49049
2012-01-01 47579
2013-01-01 49318
2014-01-01 51847
2015-01-01 55123
2016-01-01 56159
2017-01-01 58043
2018-01-01 57168
2019-01-01 59312
2020-01-01 60698
2021-01-01 70169
2022-01-01 70010

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