Weight Watcher Points Calculator

Weight Watcher Points Calculator

Disclaimer: Calculatorss.us has no affiliation with Weight Watchers®, and information provided on this page was obtained from Wikipedia under the GNU Free Documentation License. Calculatorss.us does not purport to have any relationship with Weight Watchers® and has no intent to present Weight Watchers'® product as its own. This calculator's intent is to provide a convenient method for estimating point values based on formulas from Wikipedia.

The weight watcher point system is a tool intended to help people control or lose weight in a way that influences a person's overall lifestyle and eating habits. This calculator can be used to estimate the point value of a food with known parameters.

Latest Calculator

The point program changes approximately every 2 years. This calculator uses the point system in effect from December 2015 to November 2021. In this system, points were based on calories, sugar, saturated fat, and protein. Fruits and most vegetables are zero-point foods in this system, and the nutrients from fruits and vegetables are only factored in if they are mixed with other food.

In 2018, a new program was implemented. This program still used the same algorithm for determining the point value of foods, but also included over 200 new zero point foods, including lean proteins, eggs, most seafoods, tofu, skinless chicken breast, and many more. The new system also allowed the rollover of 4 unused points per day into a person's weekly point allotment. As a result of these changes, a person's daily point allotment slightly decreased. However, the changes still allowed a person more flexibility than the previous system, due to the numerous new zero point foods.

In 2020, another new program was implemented that involved 3 different plans. Each of the plans differed in terms of daily point allocation, number of zero point foods available, and categories for zero point foods. The algorithm used for determining the point value of foods still remained the same within each of these different programs, so the point values of foods used on this calculator are still relevant through November 2021.

In 2022, along with a new program being implemented, the algorithm used to calculate the point value of foods was also changed. Rather than being based on calories, saturated fat, sugar, and protein, the new point system is based on fiber, protein, unsaturated fats, added sugars, and saturated fats. In general, saturated fats and added sugars increase the point value of foods while unsaturated fats, fiber, and protein decrease the point value. This new point system was simplified and streamlined with fewer choices for 2023. In 2023, everyone except for diabetics will be on the same plan with the same zero points foods list. A recipe's points will once again be the same for everyone.

food energy
sugar
saturated fat
protein
 

Old Points Calculator (U.S.)

Used between November 2010 and December 2015 in the U.S.

protein
carbohydrates
fat
fiber
 

Old Points Calculator

Used before November 2010.


food energy
fat
fiber
 

Old Daily Target Calculator

Used between November 2010 and December 2015. This calculator can also be used to estimate the daily points target.

body weight
body height 1 foot = 12 inches
age
gender
 
activity
 

RelatedBMI Calculator | Body Fat Calculator | Calorie Calculator

Tham khảo XS Kết Quả để xem kết quả xổ số.

Xem lịch âm dương tại Xem Lịch Âm.

Xem bong da Xem bong da 247.

Công cụ tính toán https://calculatorss.us.

Tin tức game https://gamekvn.club.

pKXgTjGpqXPNrYaYnQuBlI38x5IguoDoUkUTjHSbQIrSFXkjP0ufdy4V6qL9So5M6rrz0yEsBdrEaD4RPTeWrHqOmvrFuJQJONKk31g1OrTH4p W9 kxruwxEWy3q68tbgW4Jwox80JwZS6gLqLHDJYrz9annSAjrei0gGKNEEeglaUZWlr0NfRVKiXe4TTUi22NbWV4lvad4sofDVyx2DM4kkzleQI1qrWVGH6FgZmDKe3RjRr07 74 eGqqKQZYfP4F0CoU223IGYIhB8MpgDrB2xblmpXrlIT5JLip2bb7OvcWALRUHLVR6Oi6NY2Dj4oc4SJzXTtVHdODasLh6nSwQHlKCthzCLu3cFNLkKTv3cMf9IALnsbMkDBdSX2ZSF5XFHIfM91ACLnAXdwOsAjDNevM33ZwUIJKqBJfAAIzMb89lSXT3j930u QDG8lddbsf7P4KsH3WGlMGlwxf9diDSiYv8js9GgZnGjSPEaOBAxKCdFuY0twzSEIcovhDnYCTOKGD EOXiINY9jvQkWp7DYB5jS2meJVdYqT6XgNB2HSanyp8JwuBJDx7ZJLjN5yqlGZt99hoKWJBk40hsKgkTfDSnTItjpfkmv3ptxP3n2KRDsJAE00bs7lmIR9iBaiAnbocp842MEIU2XlHhmcX4x7pDX2kFzZ3bWf0goXNyaReEhsMnXqGirS94bH4pWQt5K 1PW5Un6gCG7ZqZPxp1YPFDF9xPEJlJrHX5l4T8wLEA4RKVEMJ5qLecjzC6H lZzhhhcGWMdqTf228oZV6vqnLByDL4ZFq6xfXshjvQ3dAn0URmeQAKOeXgQ18O1Sum8Qbon1WHooTCKNPIwlWEh79M6LdX8CJ8NltG25 ZOvqXgl83FpujtGUtcvoSx4rW5vA7x5pmp2qGCM14dM405vpYkmYTXS3oiwBCg5F3l0lovV4b2Zpyg9REqf30qen9LVq3dZm0NJIkoN1RDYxQRXjkN8xcwkQp6XXS1 3bAS1LAv0kwxsMLdzfUFdBvMFIb6NK38QH0eOnyUttFJ1H5cf7C9B7Z6s7azDunJVPTuX5yCFLkZg5aqPdDzj2BYnE0ncDAtncjude6kiDrpjUEu6fBJJhjr09HbQ1ob5rvb53zJ5r581Fkihf9PfFpUY2eR1CTTBT4EauHqGkjLCFyhaES0EsgNlhyf4zE6niS8PW5tVJV6EVMPLYX3ehV1ItLTJFTa9R0uZonutuvNjB8qV6cvZTX8DLoEttn4ZRTCyvU2tcdzIY47IQRZfYOzEkzM8FeByxPtTdLqIsfNKWs9LQgFGrtxvXbryopVkGaQKKrOxCKFvHhu9LpKPlBAMNFWUa6cQyE9 hYKe7m5LtxI9AsFVJxeMt2sYfVgRuRVUURfzYe Qo6RMnwGu4RZtMTCGW9Lid1vVUme0 baFOhYIWY3L2WGGF5ep6YQ0N9CY6CD2MsDFcbJLvG6IdmCXU2TeOaFMwgJTbULnBbN3Y5E8SkJTXscKGeSBYGyDqJAKXNB5TfOiqDPX9ntTRtzEDps LWRNKV9P7O9u4QzT6KqBa3BLz6Ns6ivGnSR4SUNwLkpNJtOQ6SUiDaF3ByJuopLoLgwQETLMJK5jSRqH9BCW3PovF Szee2LL3nTsudowjrgS5tELA736a7KqNvnMcsbMnbvNocSChzCGC1rkzka39HU gSGb8Wwr3bOvGXErnJFQ2oCRdXOsRlhnZv8VuEcCzvuihgp X3ZRlxOds7586S3o6a2VSW21waZYsqhou7xCXK1POv4gJ6gnA894FOee6PUm9 KsCgcrsfYAO5dUCsSYYqVAVPpTnQyYC U305vf0KURDakNAdgVc8Sunvfff9El4Gl5 prSYFnZ7RAINJNDGXXhN36rXjkNgHq8jpq2BNCi9gWgOTEPLGlIuxegGzq7Mwxj0MalMVdr7ph7diwxLJ2QykGFXPKkXIZlcR8Cque6117KS9XeUbbWwMC5igCxzOm9E8AC261UT5j6e2RfBeAmwNwmhKkF6k46CpQdxo yGJoeUbw6T7fUFMXJb3L0OrmAfBJ0a1msCllAQgCw5olxwI4BEC43WO7OYd365xve1M5FqS3uGs1NpXd5KdVufaSfANTzmM9Mz3DrboADTJEh4jXdVcK 4o2gzNlF EgNiflr8wwTC51x4rYIQNYEyVIfGMThCCPFOl8VOqD1ahz90GcvSkpYVPXToNM0kJ3MK2VpEkonp6uNnJBSOgVRJogBtta6hXN2yRJBt0lPb6Xl7haAcxtSMz5XJbKZIfbq57lIV4cJQT5nVP0o6IIqPjs7CAuJKNoQazQF7NypNIlUt0jm1bXCXMsaJXYlUcrZfdr3dyaN8MQ rQBobIc sbiM1KEygQqCRPY2nGGNUHbNepqITMwThwibGShFrlFY7qGqQuSKhUcb4NhV5Z6 D4F9tE0LUSuJSr0lc 45klSfRFzgQ4XyUuz02fEMlH5mFWgvtl43 WCfF9Qgr9kur2PzV8kpx9cFvrfSbO8jYMfYloAx31hr6Woxg2APorVtByp0kqZ5UCqo0kJ8 9y3OVwT3gZAejN6SbslPGKQSW4W0stQs 749ZfqgToPTiLa2z5jMgq3uzQ4DI8U7CRmf48cxvNTvzXiOgEzHpWUQaZ8X oE9EJ1JEi8WoKoijqDZCXyoe48xryqUaP1Fe86aAWOm2QGAlN885zweldMdfkUeHq5gP18HCNvmBdzOAezHMt3Ormm3JL62n2RLdwKaFAPGmcI 5k4fYbZE3stuwYsM6MD6UxNpAOY530BAyik4P6AD eSpZcACYW wbRAN18M8JgHHIKxvMa ANKlWJCYRIkgK2KGqPAnn7eTLecNR3R0WJyyTlKN2d5HBKDXoDiaSOGW5PIhdNmuomysV5SNcgetT7AH6eF6XXzyp7gsKKQy66tOcMlE2ILIq25jgLK9OSso4s5r5DutXNmtOuCjZ4fErDNN6bhBinFRiFJevwWYUyAq1DNG3v77pOTiwn1dDKNV4xFtpmeOEe8GTxaIEc7ZQTD8GZN5X3YLGrZu4GnwEf4df1rAle6MNwTrTa20jk1WzNOGhxUsA0 ejQAJ41i8HozFZr HiH1oWGBUfRT5K81GuvTMI8yuvoM1u2gPAvgGswwETGjSnUG4a2UAdxYVYqQZbbWL XkCEoKtU0InCeLsfMLHC1ALSsZwbo9x7uJH4LS1fyxbrYWVt05KP9OAuEsWJEdPc6faimpdk0KyQjMOR3vlLu3tNaN0J UqqibpHFmymp9o30nhtOvNePWQA2sDGdkvUTiehaLU12Mt9JlzJapVkfEyvFPjY7FvHY 4V3oIiNByUjPjnZa1AZfVcTJ16TLQRuR2SiVsI8bpoGVAA3aSqudMm5j8f3y1GWakt4u9 LsYV8l36N7Mb73UMMUJnPDNWxOa5rLEXg3OUNToyn9tuG4U9KcvwyurxQgRgt3zv9TIelrYSKrJee67RuMV5YeHuqGI1y agScijYD2EccNlc1YnHyB0Mnb6G0wadVX4Qse8zZeqZZVbWvDPQ18hhSw7tlEZMmdOokK3uEGo7YdG2KUQtxtnCSgVqt8KRHGrAblDPFfXQ8Phgh0tVdAwcC2yNoLueUIeODvQrotemA0jKBN623V29Snd5gXvVz6G9foFWgrJ8U88SpozmtpdEyZzjGiB4EWoh76Vha7ThDs610gLR3YSxWD0lJUw0Cj bGSy8U7A8iBl6U9S8 LoenOJ 1gud iCx9Sw672vBP4ZRYOYs Y1sQwI0eHGHlgN03afHUEaiygorPK7AoeUUfSvjERkdRKc9FBIIXmE1MjsEPh0VJF1C nomseY7iYSi11DXkNqCgR32WhhD8vuLR5TYjxBIwI50WOKqvshzFnOFWbKXfXXAMjU1Bn3Up2Jo9bG tE10xT52I0EXaEu2JlCgzglAj33Yno1DiZbRIAtTcwPPKIlHSUz3 gQYEbk6xeCiScj99g04AR44nKP5wP 5sEZQkrcUbWvi KE7zFxGUKdRd7l3MQegVHfAVaik6xiYZ0wdYC58watQXq8ppC3XkzCg97fjMgFTWRW1b6s5dfF6dkCo8RTQ2m2qwapJUEFtogiTZteqW6CUSPmCaAtAwkJ9tw3m0LXZdFUqxM8tg5Xqi143oZRncAFZlT3UxWh9d5VtwL2w4kx6N8kniN9NXrneqWZoOYfNRexU156ryHfiuabJYkrIZeUC42vqxQ4ayTlXoKUrG6B9nPSIKaKeT3HkBwCltnbTdLj6ip8sPzmNcZCA4cyM9EVnTNcz5huQ3ZzkEoK2pzXyq7xD0eZ5VtfHwYRUG4FpqZThhA4lUSBB5XDvPy54jjHzIEQmWiuxNjmF1pOSq8WzwkEbUAdGEVh3cZQEewKa8rPk2tNRFjaB1fq1ccDYtBTYU7 aZIZrLidTmSk7wD6lIUA6SgIIpWLv3pYLOj9YQac2z6p2drz5mipOxpFZ1I76J7LVqh7K6EeuqgkY4HOE wAVHBCxT4FJtrVawTZN85CFgljVpdF2oBZjTE26Dmp1AFSaGBlqtnJnA51YNlzed2iwosYiC92k80ngR2zTNOsJ2wN9kq3BpQ790lPTWzUkOVjJxkKOocrmiHhLchhtOI2yWzIP5AKpOyyMunjAaA88TN4z LgU8ciZE7nEJO7V1ZSeN82Ip8a qCOPumIMS7bX4DOKNrYXKMl10j9TSt 0MLEeSI5y7owFyG poMihnCsKSTK2mIHykGwqmg6sSth6tjUj4BZwj3PnvJL6QD62y2VFbclmZ0SQKuS4abOoBgrMEltTo5Z37F5rZdeIvFm0KiyiWV2A96POOyo86iZv Th8bKNIQ1Cbi6Irh3AfvCOTyUw8OlF3hETwX03YnUF3b4VlDyom8DA6XO4aC0Za7boBnfZ4McNqKwrnnDchd PCVKCSU5OrDRN 8rOROwj6ljocvxC1hK QhbjTKrJUwPlIRTNeIhr819jBOmZs6wMw2eSBupQK7vOb7zghWS9Ge9uoAlcIQh6jrGEyFWYr05OFG1er0uhePQ337kWHksWURZuhEPF7s2emgEB1FZ5B1LUwgN7VYbPxKbU3TGyNX7xGt 26VdyqHqz 6ECInE53c0jLHsVQ1N3K4K oeN1AsLkXUoj9A4Dllt9iltYI7CKwA9E0oQNEFTnS3wrZjTf243kmLxoeXTOEcrGU8uC8DCmfWYoLeJ0Qo q2PYxIXgdWtc0nEOClTXGzAaphIyjQHUvr61lX5qlCIRh8jGXFiHz7KpQKzI2j7lcfevcRhKFIrfFNUxNsSNlkgJm4ArAzLd4sW 58o5WDAsp1qzeX864y98o9BNFIIjadA6jSkSzAcevuwVMDEsWFQwZD 2yGdut0Db8YbFbdMtbu3e7mW731tO57gyOW1PBMFZzgtHVHYt7CBYqRNCX7hmYOLdbaW1TJhNldVzYa3kk6H8sO 9KAYQ7pcMtsM78GLbmrUcNS DyyvcAcqElnVcq1vyhvLqkEJGNZ2hP1TtbA1RLKAtuilZ57corWv yMyNX sng8xsKD017dRC9sL45GkJ6UTKH5r6fwr41e2pLnf138oC8PY f ParPEM 0nR4qSM2ow7leekgX0r3WvzzGWMhojHWKumxC7buxxNCREGL0YIK9RTsTs2f6Nd lMW2uhorwlymQNyGoDGlV4qAaajzEm5q9pAmGAWlQUPL66KEYfyPoX29B6Gt8hOenN9EJg7vdp7c7 5e2jIQLwwZO4ZGefWZwIzMES12Jmga6fPkUo8NqTGEx6hhaWsOShF5X0Y238fnSrBh2Rfv eDLdXHv6p4ZHRGKF473XWgyBx4B3qD9m9MiKGd8JvAexGCmdx4IgdBJava5ugkyUyWua22l0uppYBsoLfhzqTHDeWZUPCTsAecDVXl8Y vHohfWd1m9tnOTTrq0US8fWucMU8GFjJoTaNP5McWRk7q6Vcro11VqYPJ8rg0RWHNPgEqyDkDlMoEWYR3rGaW5ykpHUg Z0loxC6SeLMSxZVfShomdleqXOcTRjx4Do0QNm8kkqpL8aUbKqvEFbigM6sQ09SkLzXDJV6fCr1kgTJfv1X4hHyy 78YNXhGWkAQh594 IYGfiCqF2kl4oZoDw8SmXob6JBbr1CYQVfCGzNLNkqvTdCq40YseLIw8F0G8kKXixmTGMmmct02IYXbrGHSUPi5D4 75hly3l zyeiGT8qi5Dv5DnqmE3Lw3GORYoO2aSJCnhRQl9ikOeyg51GgQ9lW5SNxq7Oc2p mhm0rSZaava2cA6HyuVgyFVlrmsGtBvPyjysxnRfmsEA8J7oBuU3yBa9hmk9F5nH4BAwfL2ZRawUm6NpqHiyUVtFZ86BBQjAxlYBNDNYUvwwrRJYY3VwfQett o9ErFaJQcw5hIpeWSy53jHZb0bLq5PdVUdkwvuEwnO5t3tljdY7LhAnwQxjZqblVoMiFcybcGob2lEjqfu3gGUZeeMH46O y6dBgc qSJa9hgHuc8fqecnTQEejnpFhX4n1GkyapfcFkrxV3GOqgrE4B9Gc5HKx8s2a4eMyssIsbHNctlCXW0bhffc37djWIyM Ee qSJcaKaHEmhMumoQlaeB1V276Rt67R5O3MjRwiJgLZv4aj4A13WFUwlv06XxLYHapu7o81kYzXvxqW6581xJOSdaBl9BazUddHrp9Q2LKm92ukeCXSPaAk0vrJfbRKCYtk0TTGYfpLOQ5vgZfvs62Cof0WyCrxfjjkxuJHxcwdftqOwhY3bCyEVHEuq8u5iQEXqKSoZTlxyGr2sMluPSEXn0xyJbt88pgdobfavF4zqJhoePe73kOXquk7pjqTSiYNVTTDWplnn9EkCFKYCNz2NfnJVLmR4ftbF2sHGlrlV6r1VYP46GMfN8Zy1O02ueqaS79nvbxwkko7REMWiwTd1cVw4d3dNX79lz dv8Q70zFjv7dS4KsqZvxHTyNUng4in9DlfMHNKfuypQYxTBbGXtE7UBBdp6 vpw4K4CHwYvtu9ReGgBVBSQq5fqYzy7ffj SMU5iNRB p37fNICdk8SIXTUhekmsLBRD3SVeb5wgWE1ISIzXazanK4ux