Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Clarke County, IA
Series ID MHICILBIA19039A052NCEN
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 18838
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 22646
1994-01-01 .
1995-01-01 22595
1996-01-01 .
1997-01-01 27742
1998-01-01 29255
1999-01-01 31891
2000-01-01 33608
2001-01-01 33259
2002-01-01 34110
2003-01-01 35191
2004-01-01 36418
2005-01-01 36589
2006-01-01 36512
2007-01-01 38915
2008-01-01 39644
2009-01-01 38686
2010-01-01 38954
2011-01-01 38627
2012-01-01 39901
2013-01-01 39226
2014-01-01 40817
2015-01-01 44738
2016-01-01 43770
2017-01-01 46807
2018-01-01 47482
2019-01-01 52300
2020-01-01 64797
2021-01-01 51807
2022-01-01 57583

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