Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Tama County, IA
Series ID MHICIUBIA19171A052NCEN
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 1:11 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 26835
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31517
1994-01-01 .
1995-01-01 35744
1996-01-01 .
1997-01-01 37878
1998-01-01 39146
1999-01-01 39548
2000-01-01 41638
2001-01-01 40961
2002-01-01 41430
2003-01-01 41653
2004-01-01 45373
2005-01-01 48250
2006-01-01 46477
2007-01-01 48392
2008-01-01 50835
2009-01-01 48873
2010-01-01 52637
2011-01-01 52718
2012-01-01 50583
2013-01-01 57659
2014-01-01 58005
2015-01-01 61841
2016-01-01 54156
2017-01-01 56979
2018-01-01 62252
2019-01-01 61620
2020-01-01 64078
2021-01-01 66363
2022-01-01 71322

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