Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Manitowoc County, WI
Series ID MHICIUBWI55071A052NCEN
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 29804
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36086
1994-01-01 .
1995-01-01 40317
1996-01-01 .
1997-01-01 43045
1998-01-01 46012
1999-01-01 46243
2000-01-01 47868
2001-01-01 46780
2002-01-01 46976
2003-01-01 48021
2004-01-01 50019
2005-01-01 48426
2006-01-01 50508
2007-01-01 50536
2008-01-01 52202
2009-01-01 51384
2010-01-01 50828
2011-01-01 51089
2012-01-01 52812
2013-01-01 49688
2014-01-01 52052
2015-01-01 55162
2016-01-01 57286
2017-01-01 58890
2018-01-01 60381
2019-01-01 64971
2020-01-01 67973
2021-01-01 63798
2022-01-01 66305

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