Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Marquette County, WI
Series ID MHICIUBWI55077A052NCEN
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 23619
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 27935
1994-01-01 .
1995-01-01 31720
1996-01-01 .
1997-01-01 33140
1998-01-01 35005
1999-01-01 36603
2000-01-01 39333
2001-01-01 38439
2002-01-01 39735
2003-01-01 41010
2004-01-01 42513
2005-01-01 42460
2006-01-01 45073
2007-01-01 45488
2008-01-01 47419
2009-01-01 44276
2010-01-01 46599
2011-01-01 44986
2012-01-01 46310
2013-01-01 50603
2014-01-01 46809
2015-01-01 50772
2016-01-01 53607
2017-01-01 49227
2018-01-01 50657
2019-01-01 61149
2020-01-01 57182
2021-01-01 64546
2022-01-01 62633

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