Table Data - 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Rhode Island

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Rhode Island
Series ID MHICIUBRI44000A052NCEN
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 7:02 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 32222
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 34443
1994-01-01 .
1995-01-01 36245
1996-01-01 38466
1997-01-01 38498
1998-01-01 41818
1999-01-01 42395
2000-01-01 44049
2001-01-01 45390
2002-01-01 44823
2003-01-01 46473
2004-01-01 48522
2005-01-01 51519
2006-01-01 52287
2007-01-01 53878
2008-01-01 56093
2009-01-01 54458
2010-01-01 53074
2011-01-01 54501
2012-01-01 55406
2013-01-01 56552
2014-01-01 56071
2015-01-01 59169
2016-01-01 61435
2017-01-01 64497
2018-01-01 65487
2019-01-01 71848
2020-01-01 76492
2021-01-01 75475
2022-01-01 82846
2023-01-01 85788
2024-01-01 86058

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