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

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Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Suwannee County, FL
Series ID MHICIUBFL12121A052NCEN
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 21370
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 24060
1994-01-01 .
1995-01-01 28212
1996-01-01 .
1997-01-01 29115
1998-01-01 30252
1999-01-01 30406
2000-01-01 32358
2001-01-01 30956
2002-01-01 30804
2003-01-01 31442
2004-01-01 33802
2005-01-01 35989
2006-01-01 35556
2007-01-01 38629
2008-01-01 37644
2009-01-01 37703
2010-01-01 41079
2011-01-01 38284
2012-01-01 37676
2013-01-01 38843
2014-01-01 41250
2015-01-01 40803
2016-01-01 44339
2017-01-01 47132
2018-01-01 42388
2019-01-01 53074
2020-01-01 52615
2021-01-01 50971
2022-01-01 55979

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