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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Bradford County, FL
Series ID MHICILBFL12007A052NCEN
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 2024-01-01
Last Updated 2026-02-09 7:11 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 18839
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 23011
1994-01-01 .
1995-01-01 25163
1996-01-01 .
1997-01-01 26963
1998-01-01 28356
1999-01-01 29334
2000-01-01 30469
2001-01-01 29736
2002-01-01 29449
2003-01-01 30541
2004-01-01 31929
2005-01-01 33847
2006-01-01 35435
2007-01-01 36815
2008-01-01 37122
2009-01-01 34516
2010-01-01 36121
2011-01-01 35474
2012-01-01 34977
2013-01-01 36838
2014-01-01 35954
2015-01-01 36843
2016-01-01 39237
2017-01-01 40890
2018-01-01 40499
2019-01-01 42134
2020-01-01 41369
2021-01-01 50809
2022-01-01 51482
2023-01-01 53234
2024-01-01 53153

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