Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Floyd County, IA
Series ID MHICIUBIA19067A052NCEN
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 2023-01-01
Last Updated 2024-12-20 2:31 AM 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 26043
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29863
1994-01-01 .
1995-01-01 33516
1996-01-01 .
1997-01-01 35486
1998-01-01 35675
1999-01-01 36885
2000-01-01 39128
2001-01-01 38133
2002-01-01 38352
2003-01-01 39547
2004-01-01 42646
2005-01-01 43442
2006-01-01 42865
2007-01-01 47670
2008-01-01 47071
2009-01-01 47260
2010-01-01 45585
2011-01-01 48182
2012-01-01 46575
2013-01-01 51893
2014-01-01 53278
2015-01-01 53964
2016-01-01 54491
2017-01-01 56704
2018-01-01 59131
2019-01-01 61711
2020-01-01 68771
2021-01-01 65641
2022-01-01 72349
2023-01-01 74703

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