Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Des Moines County, IA
Series ID MHICILBIA19057A052NCEN
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 1:12 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 24541
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29166
1994-01-01 .
1995-01-01 31000
1996-01-01 .
1997-01-01 34212
1998-01-01 35577
1999-01-01 34730
2000-01-01 35756
2001-01-01 35217
2002-01-01 35215
2003-01-01 35556
2004-01-01 36450
2005-01-01 37289
2006-01-01 37862
2007-01-01 39004
2008-01-01 39906
2009-01-01 38324
2010-01-01 38905
2011-01-01 41122
2012-01-01 39189
2013-01-01 40414
2014-01-01 41835
2015-01-01 46335
2016-01-01 46289
2017-01-01 46305
2018-01-01 47344
2019-01-01 48672
2020-01-01 48312
2021-01-01 49318
2022-01-01 53734

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