Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Calhoun County, IA
Series ID MHICIUBIA19025A052NCEN
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 25358
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29557
1994-01-01 .
1995-01-01 32956
1996-01-01 .
1997-01-01 36035
1998-01-01 35423
1999-01-01 35389
2000-01-01 37411
2001-01-01 36848
2002-01-01 37493
2003-01-01 37724
2004-01-01 40811
2005-01-01 40525
2006-01-01 40707
2007-01-01 45290
2008-01-01 48033
2009-01-01 48669
2010-01-01 48804
2011-01-01 50292
2012-01-01 51309
2013-01-01 51974
2014-01-01 54205
2015-01-01 52822
2016-01-01 55699
2017-01-01 56828
2018-01-01 60182
2019-01-01 62988
2020-01-01 68698
2021-01-01 66194
2022-01-01 70035

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