Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Mills County, IA
Series ID MHICILBIA19129A052NCEN
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 27270
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30435
1994-01-01 .
1995-01-01 30708
1996-01-01 .
1997-01-01 33887
1998-01-01 35030
1999-01-01 37896
2000-01-01 39479
2001-01-01 38780
2002-01-01 39979
2003-01-01 41923
2004-01-01 45190
2005-01-01 45048
2006-01-01 51753
2007-01-01 46404
2008-01-01 50276
2009-01-01 50078
2010-01-01 52379
2011-01-01 52390
2012-01-01 51850
2013-01-01 51145
2014-01-01 54700
2015-01-01 57374
2016-01-01 71604
2017-01-01 61507
2018-01-01 57900
2019-01-01 67045
2020-01-01 68092
2021-01-01 69134
2022-01-01 67383

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