Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Kossuth County, IA
Series ID MHICIUBIA19109A052NCEN
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 1:53 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 27828
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31153
1994-01-01 .
1995-01-01 33496
1996-01-01 .
1997-01-01 37628
1998-01-01 37548
1999-01-01 37185
2000-01-01 39299
2001-01-01 38908
2002-01-01 39958
2003-01-01 40457
2004-01-01 43097
2005-01-01 43169
2006-01-01 44458
2007-01-01 49337
2008-01-01 49841
2009-01-01 51682
2010-01-01 51857
2011-01-01 49641
2012-01-01 54288
2013-01-01 60788
2014-01-01 58031
2015-01-01 55464
2016-01-01 58528
2017-01-01 61231
2018-01-01 59334
2019-01-01 64927
2020-01-01 71943
2021-01-01 68721
2022-01-01 72165

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