Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Rhode Island
Series ID MHICILBRI44000A052NCEN
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 2023-01-01
Last Updated 2024-12-20 3:13 AM 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 29744
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 31959
1994-01-01 .
1995-01-01 32977
1996-01-01 34337
1997-01-01 34900
1998-01-01 37997
1999-01-01 39534
2000-01-01 40560
2001-01-01 42377
2002-01-01 41407
2003-01-01 43540
2004-01-01 45552
2005-01-01 49310
2006-01-01 50361
2007-01-01 51632
2008-01-01 53031
2009-01-01 52028
2010-01-01 51032
2011-01-01 51803
2012-01-01 52598
2013-01-01 53478
2014-01-01 53523
2015-01-01 55361
2016-01-01 58657
2017-01-01 61349
2018-01-01 62087
2019-01-01 68918
2020-01-01 71346
2021-01-01 71173
2022-01-01 78900
2023-01-01 81248

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