Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Grant County, WI
Series ID MHICIUBWI55043A052NCEN
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 1:51 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 26222
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31468
1994-01-01 .
1995-01-01 33969
1996-01-01 .
1997-01-01 36855
1998-01-01 38393
1999-01-01 38037
2000-01-01 40294
2001-01-01 39591
2002-01-01 39757
2003-01-01 40254
2004-01-01 42318
2005-01-01 42327
2006-01-01 42417
2007-01-01 45036
2008-01-01 48228
2009-01-01 44883
2010-01-01 44613
2011-01-01 48840
2012-01-01 48632
2013-01-01 48771
2014-01-01 49734
2015-01-01 53202
2016-01-01 50149
2017-01-01 53379
2018-01-01 61214
2019-01-01 60192
2020-01-01 59800
2021-01-01 61708
2022-01-01 67841

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