Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Fremont County, IA
Series ID MHICIUBIA19071A052NCEN
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 24304
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29588
1994-01-01 .
1995-01-01 32332
1996-01-01 .
1997-01-01 36154
1998-01-01 36551
1999-01-01 39278
2000-01-01 41874
2001-01-01 41269
2002-01-01 41007
2003-01-01 42201
2004-01-01 44749
2005-01-01 43440
2006-01-01 46675
2007-01-01 50759
2008-01-01 49760
2009-01-01 50424
2010-01-01 51810
2011-01-01 55725
2012-01-01 55194
2013-01-01 55564
2014-01-01 59432
2015-01-01 60137
2016-01-01 59316
2017-01-01 58176
2018-01-01 59803
2019-01-01 64147
2020-01-01 69740
2021-01-01 74954
2022-01-01 75835

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