Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Dubuque County, IA
Series ID MHICIUBIA19061A052NCEN
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 1:53 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 30571
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34995
1994-01-01 .
1995-01-01 39507
1996-01-01 .
1997-01-01 42080
1998-01-01 43136
1999-01-01 42314
2000-01-01 44463
2001-01-01 43534
2002-01-01 44163
2003-01-01 44441
2004-01-01 46292
2005-01-01 46795
2006-01-01 47627
2007-01-01 49452
2008-01-01 52503
2009-01-01 49306
2010-01-01 51727
2011-01-01 55119
2012-01-01 52695
2013-01-01 54496
2014-01-01 58793
2015-01-01 60601
2016-01-01 62647
2017-01-01 63829
2018-01-01 63566
2019-01-01 65650
2020-01-01 71274
2021-01-01 77767
2022-01-01 76974

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