Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Manitowoc County, WI
Series ID MHICILBWI55071A052NCEN
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 1:53 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 25519
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31753
1994-01-01 .
1995-01-01 34586
1996-01-01 .
1997-01-01 37134
1998-01-01 40087
1999-01-01 40725
2000-01-01 41583
2001-01-01 41086
2002-01-01 41242
2003-01-01 42580
2004-01-01 44316
2005-01-01 43098
2006-01-01 45078
2007-01-01 45814
2008-01-01 48098
2009-01-01 46213
2010-01-01 45290
2011-01-01 46519
2012-01-01 45508
2013-01-01 45982
2014-01-01 44808
2015-01-01 48740
2016-01-01 49980
2017-01-01 52592
2018-01-01 52551
2019-01-01 57681
2020-01-01 57495
2021-01-01 55750
2022-01-01 59515

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