NOTE: THIS DATA FILE WILL CHANGE! To improve accessibility of data for all users, we will convert this file from a text format to an html table by the end of June 2024. 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 (https://www.census.gov/programs-surveys/saipe/about.html) (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 (https://www.census.gov/programs-surveys/saipe/guidance/confidence-intervals.html). 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