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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Suwannee County, FL
Series ID MHICILBFL12121A052NCEN
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 1:54 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 16854
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 19491
1994-01-01 .
1995-01-01 22122
1996-01-01 .
1997-01-01 23009
1998-01-01 24191
1999-01-01 26669
2000-01-01 27894
2001-01-01 26994
2002-01-01 26845
2003-01-01 27722
2004-01-01 29812
2005-01-01 30238
2006-01-01 30138
2007-01-01 33479
2008-01-01 31210
2009-01-01 31041
2010-01-01 37439
2011-01-01 31610
2012-01-01 31192
2013-01-01 32489
2014-01-01 35104
2015-01-01 33933
2016-01-01 36805
2017-01-01 41156
2018-01-01 34662
2019-01-01 45832
2020-01-01 39913
2021-01-01 41597
2022-01-01 46611

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