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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Tama County, IA
Series ID MHICILBIA19171A052NCEN
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 22333
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26973
1994-01-01 .
1995-01-01 29558
1996-01-01 .
1997-01-01 31694
1998-01-01 32963
1999-01-01 34730
2000-01-01 35799
2001-01-01 35733
2002-01-01 36105
2003-01-01 36614
2004-01-01 39958
2005-01-01 43189
2006-01-01 40833
2007-01-01 41075
2008-01-01 43761
2009-01-01 42255
2010-01-01 45029
2011-01-01 47350
2012-01-01 45015
2013-01-01 50029
2014-01-01 51909
2015-01-01 56611
2016-01-01 46780
2017-01-01 48391
2018-01-01 51656
2019-01-01 50942
2020-01-01 52580
2021-01-01 56957
2022-01-01 61268

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