Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Cook County, MN
Series ID MHICIUBMN27031A052NCEN
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 1:52 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 26186
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 30253
1994-01-01 .
1995-01-01 36007
1996-01-01 .
1997-01-01 36530
1998-01-01 38507
1999-01-01 38962
2000-01-01 41223
2001-01-01 40123
2002-01-01 40354
2003-01-01 41226
2004-01-01 42023
2005-01-01 43522
2006-01-01 46184
2007-01-01 48492
2008-01-01 49487
2009-01-01 48515
2010-01-01 47782
2011-01-01 48763
2012-01-01 50403
2013-01-01 52296
2014-01-01 53252
2015-01-01 55023
2016-01-01 53754
2017-01-01 56213
2018-01-01 59926
2019-01-01 65082
2020-01-01 66408
2021-01-01 66823
2022-01-01 75833

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