Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Sauk County, WI
Series ID MHICILBWI55111A052NCEN
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 24594
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 29943
1994-01-01 .
1995-01-01 32401
1996-01-01 .
1997-01-01 34757
1998-01-01 36889
1999-01-01 38945
2000-01-01 40989
2001-01-01 40396
2002-01-01 40595
2003-01-01 41954
2004-01-01 43734
2005-01-01 44300
2006-01-01 42675
2007-01-01 45964
2008-01-01 49037
2009-01-01 47275
2010-01-01 44581
2011-01-01 46063
2012-01-01 49999
2013-01-01 47778
2014-01-01 46467
2015-01-01 49934
2016-01-01 54315
2017-01-01 54321
2018-01-01 53902
2019-01-01 59885
2020-01-01 61996
2021-01-01 65907
2022-01-01 66084

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