Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Oconto County, WI
Series ID MHICILBWI55083A052NCEN
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 20885
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25606
1994-01-01 .
1995-01-01 27977
1996-01-01 .
1997-01-01 30789
1998-01-01 33318
1999-01-01 37201
2000-01-01 39141
2001-01-01 39223
2002-01-01 39797
2003-01-01 40926
2004-01-01 42804
2005-01-01 42649
2006-01-01 42171
2007-01-01 44581
2008-01-01 47646
2009-01-01 46530
2010-01-01 41828
2011-01-01 51081
2012-01-01 49470
2013-01-01 49601
2014-01-01 49277
2015-01-01 50186
2016-01-01 54869
2017-01-01 54540
2018-01-01 55325
2019-01-01 63877
2020-01-01 60432
2021-01-01 64433
2022-01-01 62033

Subscribe to the FRED newsletter


Follow us

Back to Top