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

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Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Kent County, RI
Series ID MHICILBRI44003A052NCEN
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 31223
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 36420
1994-01-01 .
1995-01-01 38400
1996-01-01 .
1997-01-01 41352
1998-01-01 43621
1999-01-01 43437
2000-01-01 46266
2001-01-01 45404
2002-01-01 46505
2003-01-01 48417
2004-01-01 50407
2005-01-01 53394
2006-01-01 55392
2007-01-01 55121
2008-01-01 60389
2009-01-01 54478
2010-01-01 52224
2011-01-01 56848
2012-01-01 55929
2013-01-01 59458
2014-01-01 58197
2015-01-01 62461
2016-01-01 59896
2017-01-01 68574
2018-01-01 64824
2019-01-01 71066
2020-01-01 76381
2021-01-01 68870
2022-01-01 78284

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