Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Burnett County, WI
Series ID MHICILBWI55013A052NCEN
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 16536
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 20950
1994-01-01 .
1995-01-01 25131
1996-01-01 .
1997-01-01 26238
1998-01-01 28228
1999-01-01 31031
2000-01-01 32622
2001-01-01 32314
2002-01-01 33264
2003-01-01 34533
2004-01-01 35783
2005-01-01 36081
2006-01-01 36734
2007-01-01 38132
2008-01-01 38448
2009-01-01 35370
2010-01-01 36809
2011-01-01 37649
2012-01-01 35079
2013-01-01 39066
2014-01-01 39309
2015-01-01 41407
2016-01-01 45460
2017-01-01 44515
2018-01-01 51890
2019-01-01 48564
2020-01-01 52240
2021-01-01 53076
2022-01-01 52261

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