Federal Reserve Economic Data

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

Title 90% Confidence Interval Upper Bound of Estimate of Median Household Income for Sargent County, ND
Series ID MHICIUBND38081A052NCEN
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 1:51 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 30236
1990-01-01 .
1991-01-01 .
1992-01-01 .
1993-01-01 33720
1994-01-01 .
1995-01-01 35597
1996-01-01 .
1997-01-01 39196
1998-01-01 42446
1999-01-01 42672
2000-01-01 44727
2001-01-01 44564
2002-01-01 45334
2003-01-01 45815
2004-01-01 48418
2005-01-01 49382
2006-01-01 51223
2007-01-01 54614
2008-01-01 56213
2009-01-01 55081
2010-01-01 54496
2011-01-01 63190
2012-01-01 61302
2013-01-01 63799
2014-01-01 64248
2015-01-01 63529
2016-01-01 65296
2017-01-01 69340
2018-01-01 70997
2019-01-01 75132
2020-01-01 78216
2021-01-01 77684
2022-01-01 84133

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