Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Jackson County, WI
Series ID MHICILBWI55053A052NCEN
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 18965
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23587
1994-01-01 .
1995-01-01 25152
1996-01-01 .
1997-01-01 28274
1998-01-01 29991
1999-01-01 33300
2000-01-01 34811
2001-01-01 34425
2002-01-01 34899
2003-01-01 36195
2004-01-01 37251
2005-01-01 38739
2006-01-01 38094
2007-01-01 41465
2008-01-01 41726
2009-01-01 41537
2010-01-01 36585
2011-01-01 38847
2012-01-01 41625
2013-01-01 42538
2014-01-01 44704
2015-01-01 46796
2016-01-01 47029
2017-01-01 48114
2018-01-01 48226
2019-01-01 52499
2020-01-01 51907
2021-01-01 55560
2022-01-01 59599

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