Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Franklin County, IA
Series ID MHICILBIA19069A052NCEN
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 1:54 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 22858
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 26105
1994-01-01 .
1995-01-01 28175
1996-01-01 .
1997-01-01 31634
1998-01-01 32944
1999-01-01 33625
2000-01-01 35022
2001-01-01 34718
2002-01-01 34720
2003-01-01 35313
2004-01-01 38534
2005-01-01 38640
2006-01-01 39081
2007-01-01 39933
2008-01-01 43230
2009-01-01 42862
2010-01-01 41615
2011-01-01 43216
2012-01-01 46645
2013-01-01 44011
2014-01-01 46508
2015-01-01 48255
2016-01-01 47577
2017-01-01 48847
2018-01-01 53799
2019-01-01 49861
2020-01-01 50939
2021-01-01 53869
2022-01-01 56294

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