Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Muscatine County, IA
Series ID MHICILBIA19139A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:33 AM 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 27231
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33154
1994-01-01 .
1995-01-01 35989
1996-01-01 .
1997-01-01 37893
1998-01-01 39754
1999-01-01 39321
2000-01-01 40996
2001-01-01 40751
2002-01-01 40996
2003-01-01 41898
2004-01-01 42920
2005-01-01 40901
2006-01-01 46307
2007-01-01 48337
2008-01-01 49255
2009-01-01 45300
2010-01-01 44357
2011-01-01 44050
2012-01-01 49838
2013-01-01 49205
2014-01-01 50805
2015-01-01 49276
2016-01-01 53120
2017-01-01 53806
2018-01-01 53306
2019-01-01 55920
2020-01-01 56290
2021-01-01 57024
2022-01-01 62110
2023-01-01 60653

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