Federal Reserve Economic Data

Table Data - 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Fond du Lac County, WI

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Fond du Lac County, WI
Series ID MHICILBWI55039A052NCEN
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 27906
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 32978
1994-01-01 .
1995-01-01 35951
1996-01-01 .
1997-01-01 39590
1998-01-01 41288
1999-01-01 42274
2000-01-01 43590
2001-01-01 43380
2002-01-01 43865
2003-01-01 44868
2004-01-01 46438
2005-01-01 46403
2006-01-01 47219
2007-01-01 48554
2008-01-01 51040
2009-01-01 48703
2010-01-01 47830
2011-01-01 51265
2012-01-01 50749
2013-01-01 51363
2014-01-01 50374
2015-01-01 54641
2016-01-01 55581
2017-01-01 58864
2018-01-01 55544
2019-01-01 61696
2020-01-01 62188
2021-01-01 65917
2022-01-01 66917

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