Federal Reserve Economic Data

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

Title 90% Confidence Interval Lower Bound of Estimate of Median Household Income for Ramsey County, ND
Series ID MHICILBND38071A052NCEN
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 20167
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 25229
1994-01-01 .
1995-01-01 25498
1996-01-01 .
1997-01-01 27351
1998-01-01 28872
1999-01-01 31982
2000-01-01 32792
2001-01-01 32314
2002-01-01 32827
2003-01-01 34423
2004-01-01 34240
2005-01-01 35191
2006-01-01 35599
2007-01-01 37995
2008-01-01 39613
2009-01-01 43980
2010-01-01 40866
2011-01-01 42094
2012-01-01 46483
2013-01-01 44858
2014-01-01 46064
2015-01-01 46490
2016-01-01 45969
2017-01-01 50779
2018-01-01 49517
2019-01-01 55332
2020-01-01 49313
2021-01-01 56201
2022-01-01 63698

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