Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Hillsborough County, FL
Series ID MHICILBFL12057A052NCEN
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 25841
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 28525
1994-01-01 .
1995-01-01 30326
1996-01-01 .
1997-01-01 33516
1998-01-01 34887
1999-01-01 36542
2000-01-01 38572
2001-01-01 38628
2002-01-01 40018
2003-01-01 41041
2004-01-01 42500
2005-01-01 43941
2006-01-01 45665
2007-01-01 49408
2008-01-01 48646
2009-01-01 46029
2010-01-01 45054
2011-01-01 45345
2012-01-01 45247
2013-01-01 48264
2014-01-01 49897
2015-01-01 50813
2016-01-01 53151
2017-01-01 53324
2018-01-01 56728
2019-01-01 60033
2020-01-01 62763
2021-01-01 63487
2022-01-01 72136

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