Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Iron County, MO
Series ID MHICILBMO29093A052NCEN
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 15320
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 16871
1994-01-01 .
1995-01-01 19313
1996-01-01 .
1997-01-01 20626
1998-01-01 21248
1999-01-01 24053
2000-01-01 24981
2001-01-01 24532
2002-01-01 24700
2003-01-01 25895
2004-01-01 26827
2005-01-01 26176
2006-01-01 27837
2007-01-01 27644
2008-01-01 26719
2009-01-01 28483
2010-01-01 30010
2011-01-01 29374
2012-01-01 32829
2013-01-01 29924
2014-01-01 30077
2015-01-01 30205
2016-01-01 31124
2017-01-01 32150
2018-01-01 33877
2019-01-01 34906
2020-01-01 35605
2021-01-01 40460
2022-01-01 39582

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