Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ashland County, WI
Series ID MHICILBWI55003A052NCEN
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 17757
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 21535
1994-01-01 .
1995-01-01 23583
1996-01-01 .
1997-01-01 26066
1998-01-01 27982
1999-01-01 29552
2000-01-01 30558
2001-01-01 29874
2002-01-01 30539
2003-01-01 31481
2004-01-01 32411
2005-01-01 30183
2006-01-01 33874
2007-01-01 32764
2008-01-01 35852
2009-01-01 35244
2010-01-01 34004
2011-01-01 34560
2012-01-01 36258
2013-01-01 34689
2014-01-01 38573
2015-01-01 37102
2016-01-01 37685
2017-01-01 39340
2018-01-01 41169
2019-01-01 42492
2020-01-01 47686
2021-01-01 50657
2022-01-01 51162

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