Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Calumet County, WI
Series ID MHICILBWI55015A052NCEN
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 1:11 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 31181
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 38544
1994-01-01 .
1995-01-01 42766
1996-01-01 .
1997-01-01 45712
1998-01-01 48237
1999-01-01 49261
2000-01-01 50600
2001-01-01 51836
2002-01-01 53444
2003-01-01 56571
2004-01-01 56679
2005-01-01 55850
2006-01-01 54699
2007-01-01 56766
2008-01-01 59507
2009-01-01 61273
2010-01-01 58594
2011-01-01 62042
2012-01-01 65311
2013-01-01 62816
2014-01-01 63888
2015-01-01 67817
2016-01-01 68922
2017-01-01 66452
2018-01-01 68204
2019-01-01 75677
2020-01-01 75706
2021-01-01 74936
2022-01-01 77457

Subscribe to the FRED newsletter


Follow us

Back to Top