National Nutrition Week: What Is NOVA Classification Of Food And How It Can Help In Making An Informed Choice?

National Nutrition Week: What Is NOVA Classification Of Food And How It Can Help In Making An Informed Choice?

National Nutrition Week 2020 India: Public interest groups call to adopt NOVA (means new) classification of foods to reduce the consumption of unhealthy ultra-processed foods
National Nutrition Month, Nutrition
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National Nutrition Week 2020: What Is NOVA Classification Of Food And How It Can Help In Making An Informed Choice?Nutrition Week: NOVA is the food classification that categorises foods according to the extent and purpose of food processing
Highlights
  • NOVA classification of food was identified by Professor Carlos Monteiro
  • NOVA classification categories food into 4 groups based on the processing
  • Ultra-processed food has little to no real food and is highly unhealthy

New Delhi: On August 30, in his monthly radio programme ‘Mann ki Baat’ Prime Minister Narendra Modi talked about the importance of a nutritious diet and called for ‘eat nutritious food and stay healthy during the nutrition month’. PM Modi advised citizens to include local food grains in their diet and said, “There are six different seasons in our country, different regions produce diverse crops according to the respective climate. Therefore, it is very important that according to the season of a particular region, a well-balanced and nutrient rich, diet plan should be drafted to include local food grains, fruits and vegetables cultivated there. For example, Millets including coarse grains like Ragi or Finger Millet and Jowar or Sorghum, are very beneficial nutritious food.”

Also Read: ‘September To Be Observed As Poshan Maah,” Says Prime Minister Narendra Modi On Mann Ki Baat

Taking the idea of ‘local food grains’ forward, Nutrition Advocacy in Public Interest in India (NAPi), a national think tank and the Breastfeeding Promotion Network of India (BPNI) have jointly launched a new campaign in India that aims at reducing the consumption of unhealthy ultra-processed foods by the people of all categories and age groups.

Together, the two groups have called the Ministry of Health and FSSAI (Food Safety and Standards Authority of India) to adopt the NOVA (means new) classification of foods.

Also Read: National Nutrition Week 2020: How These Initiatives Are Helping India Eat Nutritious Food Amid Coronavirus Crisis

What Is NOVA Classification Of Foods?

NOVA is the food classification that categorises foods according to the extent and purpose of food processing, rather than in terms of nutrients. When obesity in Brazilian adults went up from 7.5 per cent in 2002 to 17.5 per cent in 2013, Professor Carlos Monteiro from University of Sao Paulo, and his team researched their dietary patterns. They found that consumption of processed foods made people eat more, and led to increased obesity and type-2 diabetes. This was happening in spite of the fact that people were buying less sugar and oil. The researchers also noticed an increase in the consumption of highly processed or ultra-processed, ready to eat, sugary and packaged food products.

Following this, Professor Carlos Monteiro and his team developed the NOVA food classification which categories food into four groups, based on the processing.

Also Read: National Nutrition Week 2020: Manushi Chhillar Highlights The Importance Of Having Good Nutritious Food

NOVA Classification Of Food According To Its Processing

Group 1: Unprocessed Or Minimally Processed Foods

These are real foods like edible parts of plants (seeds, fruits, leaves, stems, roots) or of animals (muscle, eggs, milk). It also includes vegetables and fruits like carrots, potato, onion, banana, and grains (wheat, rice, oats, barley, millets, ragi, corn), raw chicken or nuts. These are eaten as boiled, cooled, pasteurized, roasted, crushed, ground, fermented, fried or frozen. For example, fermenting the milk makes it into yoghurt. These food items are prepared domestically not industrially processed.

Group 2: Processed Culinary Ingredients

These are obtained directly from group one or from nature by processes such as pressing, refining, grinding, milling, and spray drying. These are used in cooking and seasoning to make foods delicious. Examples are salt, sugar, oil and butter from milk, ground spices, salted butter, iodised salt, and vinegar figure in this group, explains the document titled ‘The Unseen Dangers Of Ultra-processed Food’ issued by NAPi and BPNI.

Also Read: Food Systems: Innocent Victim Or Inadvertent Instigator Of Pandemics?

Group 3: Processed foods

Processed foods are also derived from group one and are prepared by adding sugar, salt, oil. The sugar and salt content in processed foods determine how unhealthy they are. It majorly includes fruits preserved in sugar syrup (murabba), vegetables preserved in salt water or oil (pickles), simple cheese made from milk, canned fruits or veggies, among others.

Processing of food increases its durability or modifies its taste. Indian sweets and traditional salted snacks like mathadi also belong here. Alcoholic drinks like beer and wine falls in this group, states NAPi and BPNI.

Group 4: Ultra-processed Foods

Ultra-processed foods are the unhealthiest of the lot as these contain little to no proportion of real foods. These are produced in the factories and mostly sold as ‘packaged food’ or ‘ready to eat’ anytime anywhere foods.

The processing includes carbonating, firming, whipping, bulking and anti-bulking, and de-foaming. They have typically five or even more ingredients. They contain at least one additive that we don’t ever use in the kitchen. These ingredients may be sugar, oils, fats, salt, anti-oxidants, stabilisers, and preservatives. Casein, lactose, whey, and gluten, hydrogenated oils, hydrolysed proteins, soy protein isolate, maltodextrin, invert sugar and high fructose corn syrup are only found in ultra-processed foods. Additives also include dyes and other colours, colour stabilisers, emulsifiers, flavours, and non-sugar sweeteners. These make foods intensely palatable, explains NAPi and BPNI.

Also Read: Gujarat NGO Helps Distressed Families Grow Kitchen Gardens During COVID-19 Pandemic To Improve Their Nutritional Well-Being

Some of the common examples of ultra-processed foods are packaged baby milk, cereal, instant soups, noodles, packaged breads, carbonated drinks, packaged fruit juices, health or energy drinks, sweet or savoury packaged snacks, ice-creams, yoghurt with added artificial sweeteners chocolates, biscuits, cakes, protein bars, and others.

National Nutrition Week 2020: What Is NOVA Classification Of Food And How It Can Help In Making An Informed Choice?
Ultra-processed foods contain little to no proportion of real foods.

Talking about the consequences of consuming UPFs and its health impact, Dr Arun Gupta, convener at NAPi said,

Available scientific evidence reveals that 10 per cent increase in the consumption of UPFs increases the chances of obesity, diabetes, cardiovascular diseases and certain types of cancer by approximately 10 per cent. In children, obesity and asthma are higher in those consuming UPFs.

National Institute of Health conducted a small scale study under which participants were given ultra-processed food and unprocessed food, each for two weeks. The ultra-processed and unprocessed meals had the same amounts of calories, sugars, fiber, fat, and carbohydrates, and participants could eat as much or as little as they wanted. The study found that on the ultra-processed diet, people ate about 500 calories more per day than they did on the unprocessed diet. They also ate faster on the ultra-processed diet and gained weight, whereas they lost weight on the unprocessed diet.

According to Dr Gupta, intensely palatable nature of the UPFs makes an individual consume it more.

Also Read: “The Goal Of National Nutrition Week Is To Create A Healthy Nation,” Says Dr Harsh Vardhan As He Urges Everyone To Eat Right

How Ultra Processed Food Has Taken Over Unprocessed And Natural Food

The World Health Organisation (WHO) recommends exclusive breastfeeding during the first six months of birth. After six months, breastfeeding has to be complemented with a variety of adequate, safe and nutrient-dense foods. According to the experts from BPNI, milk powder and infant formula have replaced exclusive breastfeeding.

In the later years of life, drinks, infant cereals, chocolates, ice creams, chips, and other junk food take the place of fruits and vegetables, cereals and pulses, milk and milk products.

“When my son was young he would refuse to go to school without buying a packet of chips. We would also give in to his request thinking he is a child but now we are facing the repercussions of it as he doesn’t like eating most of the vegetables”, tells Rekha Barnwal from Ghaziabad.

This is where adopting NOVA Food Classification comes in, a policy that can change the way we deal with our food systems. Periodic monitoring of food consumption patterns would also be required, says Keshav Desiraju, former Health Secretary and chair of NAPi.

Also Read: Food Safety Authority Promotes Healthy Eating Habits And Food Sustainability Through A District Level Competition

How NOVA Classification Can Help In Deciding What To Eat?

According to Dr Gupta, the NOVA classification of food helps us in making informed choices. For instance, both Poha and bread are breakfast options but knowing that home cooked Poha is unprocessed or minimally processed than bread will aid in taking better decisions. Dr Gupta shares some general recommendations for healthy eating:

1. Eat real foods of group 1 and 2 to boost immunity and to beat obesity. This will help beat COVID-19 or similar infections.

2. Check if the food is ultra-processed, it will help decide whether or not to eat or give to your children.

3. Use processed culinary ingredients in small amounts for seasoning and cooking foods and to create culinary preparations.

4. Limit the use of processed foods. Consume them in small amounts as part of meals that is based on real or minimally processed foods.

5. Avoid ultra-processed food products as they are nutritionally unbalanced. UPFs include additives, emulsifiers, sweeteners which UFPs palatable and in turn people consume it in excess. UFPs may appear easy to make and eat but they don’t provide nutrition.

6. Don’t be misled by what is advertised about food, be wary of information from industry.

Identifying ultra-processed foods is easy by simply watching food labels and can be part of the guidelines followed by local language campaigns to educate people about UPF consumption and its harmful impact, said Dr Gupta.

Also Read: National Nutrition Month: Nutritional Requirements Of A Baby From 0-2 Years

NDTV – Dettol Banega Swasth India campaign is an extension of the five-year-old Banega Swachh India initiative helmed by Campaign Ambassador Amitabh Bachchan. It aims to spread awareness about critical health issues facing the country. In wake of the current COVID-19 pandemic, the need for WASH (WaterSanitation and Hygiene) is reaffirmed as handwashing is one of the ways to prevent Coronavirus infection and other diseases. The campaign highlights the importance of nutrition and healthcare for women and children to prevent maternal and child mortality, fight malnutrition, stunting, wasting, anaemia and disease prevention through vaccines. Importance of programmes like Public Distribution System (PDS), Mid-day Meal Scheme, POSHAN Abhiyan and the role of Aganwadis and ASHA workers are also covered. Only a Swachh or clean India where toilets are used and open defecation free (ODF) status achieved as part of the Swachh Bharat Abhiyan launched by Prime Minister Narendra Modi in 2014, can eradicate diseases like diahorrea and become a Swasth or healthy India. The campaign will continue to cover issues like air pollutionwaste managementplastic banmanual scavenging and sanitation workers and menstrual hygiene

World

6,03,21,440Cases
2,02,30,230Active
3,86,71,119Recovered
14,20,091Deaths
Coronavirus has spread to 191 countries. The total confirmed cases worldwide are 6,03,21,440 and 14,20,091 have died; 2,02,30,230 are active cases and 3,86,71,119 have recovered as on November 26, 2020 at 3:37 am.

India

92,66,705 44489Cases
4,52,344 7598Active
86,79,138 36367Recovered
1,35,223 524Deaths
In India, there are 92,66,705 confirmed cases including 1,35,223 deaths. The number of active cases is 4,52,344 and 86,79,138 have recovered as on November 26, 2020 at 2:30 am.

State & District Details

State Cases Active Recovered Deaths
DistrictCases
Mumbai45,478
Thane13,660
Pune9,920
Mumbai Suburban5,363
Aurangabad1,974
Nashik1,575
Raigad1,462
Palghar1,421
Solapur1,291
Jalgaon1,039
Akola757
Nagpur692
Kolhapur646
Satara629
Ratnagiri350
Amravati291
Dhule228
Hingoli208
Jalna201
Ahmednagar190
Nanded176
Yavatmal150
Sangli145
Latur139
Osmanabad125
Sindhudurg114
Buldhana88
Parbhani78
gondia69
Beed54
Nandurbar42
Gadchiroli42
Bhandara41
Chandrapur32
Washim13
Wardha11

17,95,959 6,159

85,488 1,250

16,63,723 4,844

46,748 65

DistrictCases
Udupi1,176
Kalaburagi669
Yadgir538
Bengaluru Urban529
Raichur369
Mandya346
Belagavi337
Bidar219
Hassan205
Davangere204
Vijayapura201
Dakshina Kannada179
Chikkaballapura149
Mysuru107
Bagalkote103
Uttara Kannada95
Shivamogga67
Dharwad61
Ballari60
Gadag45
Bengaluru Rural40
Tumakuru36
Kolar29
Haveri24
Chikkamagaluru19
Chitradurga14
Koppal5
Kodagu4
Ramanagara3
Chamarajanagara0

8,78,055 1,630

24,909 278

8,41,432 1,333

11,714 19

DistrictCases
Kurnool795
Krishna557
Guntur511
Anantapur428
East Godavari356
Chittoor319
Sri Potti Sriramulu Nell*296
Y.S.R.205
West Godavari199
Srikakulam183
Prakasam104
Visakhapatnam103
Vizianagaram23

8,64,674 831

12,673 351

8,45,039 1,176

6,962 6

DistrictCases
Chennai23,324
Chengalpattu1,314
Thiruvallur774
Villupuram509
Kanchipuram503
Tiruvannamalai496
Cuddalore477
Ariyalur444
Tirunelveli433
Tuticorin333
Kallakurichi324
Madurai322
Salem258
Coimbatore188
Virudhunagar185
Dindigul175
Perambalur133
Ranipet133
Thanjavur130
Theni129
Tiruchirappalli119
Ramanathapuram119
Tiruppur116
Kanniyakumari110
Tenkasi103
Nagapattinam99
Karur88
Namakkal83
Erode75
Vellore71
Thiruvarur67
Pudukkottai53
Sivaganga46
Tirupathur45
Krishnagiri43
The Nilgiris17
Dharmapuri15

7,74,710 1,534

11,520 355

7,51,535 1,873

11,655 16

DistrictCases
Kannur357
Kasaragod333
Palakkad224
Malappuram119
Kollam118
Thrissur106
Thiruvananthapuram104
Pathanamthitta98
Kozhikode90
Alappuzha76
Kottayam73
Ernakulam60
Idukki40
Wayanad36

5,78,363 6,491

65,234 695

5,11,008 5,770

2,121 26

DistrictCases
North West5,463
Central4,817
West4,768
New Delhi3,405
North3,059
East2,472
South East2,446
South West2,391
South2,329
North East1,914
Shahdara1,580

5,45,787 5,246

38,287 214

4,98,780 5,361

8,720 99

DistrictCases
Gautam Buddha Nagar1,119
Agra933
Ghaziabad794
Meerut504
Lucknow386
Saharanpur298
Kanpur Nagar286
Moradabad252
Varanasi243
Hapur225
Aligarh215
Basti214
Amethi206
Rampur203
Jaunpur194
Firozabad190
Barabanki168
Gorakhpur166
Bulandshahr166
Siddharth Nagar159
Ghazipur159
Bijnor157
Deoria143
Azamgarh138
Sant Kabeer Nagar132
Mathura129
Ayodhya120
Muzaffarnagar117
Sambhal116
Sultanpur97
Ambedkar Nagar92
Maharajganj85
Amroha80
Rae Bareli78
Bahraich73
Kheri72
Kannauj69
Baghpat68
Kushi Nagar67
Bhadohi60
Ballia60
Gonda59
Etah52
Hardoi49
Balrampur49
Mau48
Mainpuri46
Etawah46
Hathras43
Unnao42
Jalaun41
Jhansi41
Shamli40
Chandauli38
Auraiya37
Farrukhabad36
Sitapur32
Prayagraj30
Banda27
Shahjahanpur25
Shravasti23
Budaun23
Mirzapur22
Bareilly17
Kasganj16
Pratapgarh15
Pilibhit15
Sonbhadra10
Kaushambi6
Kanpur Dehat4
Chitrakoot4
Lalitpur3
Hamirpur3
Mahoba3
Fatehpur3

5,33,355 2,305

24,876 948

5,00,835 1,328

7,644 29

DistrictCases
Kolkata2,777
Howrah1,435
24 Paraganas North1,031
Hooghly604
24 Paraganas South281
Maldah235
Dinajpur Uttar216
Coochbehar210
Birbhum206
Medinipur West159
Medinipur East153
Nadia139
Purba Bardhaman130
Murshidabad125
Bankura116
Darjeeling97
Jalpaiguri88
Paschim Bardhaman70
Purulia66
Dinajpur Dakshin50
Alipurduar39
Kalimpong18
Jhargram9

4,66,991 3,528

24,752 128

4,34,067 3,605

8,172 51

DistrictCases
Ganjam581
Jajapur322
Khordha238
Baleshwar190
Kendrapara164
Cuttack155
Bhadrak137
Balangir129
Puri103
Sundargarh102
Jagatsinghapur91
Nayagarh86
Mayurbhanj73
Nuapada69
Gajapati61
Dhenkanal36
Boudh34
Kendujhar34
Deogarh33
Kalahandi33
Sonepur29
Kandhamal28
Anugul26
Malkangiri20
Bargarh16
Koraput16
Sambalpur16
Jharsuguda8
Nabarangpur2
Rayagada2

3,16,001 730

6,212 14

3,08,102 728

1,687 16

DistrictCases
Hyderabad2,475
Ranga Reddy183
Suryapet87
Jagitial77
Nizamabad76
MedchalMalkajgiri75
Mancherial43
YadadriBhuvanagiri40
Jogulamba Gadwal40
Vikarabad40
Nalgonda33
Warangal Urban32
Mahabubnagar30
Sangareddy26
Khammam26
Adilabad22
Nirmal21
Karimnagar17
RajannaSircilla16
Medak11
Kamareddy11
Mahabubabad10
Jayashankar Bhupalapally9
Nagarkurnool8
Kumuram Bheem Asifabad8
Jangoan8
Siddipet7
Peddapalli5
Bhadradri Kothagudem5
Warangal Rural4
Mulugu3
Narayanpet3
Wanaparthy1

2,66,904 862

10,784 102

2,54,676 961

1,444 3

DistrictCases
Jaipur2,177
Jodhpur1,748
Udaipur724
Bharatpur563
Kota503
Nagaur500
Ajmer379
Dungarpur374
Pali352
Jhalawar329
Bhilwara250
Sikar231
Chittorgarh188
Tonk171
Jalore164
Rajsamand140
Sirohi130
Bikaner112
Banswara91
Alwar90
Churu81
Jhunjhunu64
Dausa61
Dholpur60
Baran59
Jaisalmer53
Barmer34
Hanumangarh31
SawaiMadhopur26
Karauli17
Pratapgarh14
Ganganagar8
Bundi5

2,53,767 3,285

26,320 1,123

2,25,229 2,144

2,218 18

DistrictCases
Patna279
Bhagalpur266
Rohtas256
Khagaria253
Begusarai243
Madhubani199
Munger188
Jehanabad178
Katihar175
Darbhanga143
Samastipur139
Siwan139
PurbiChamparan138
Purnia135
Banka134
Buxar134
Nalanda123
Gopalganj123
Nawada122
Sheikhpura118
Gaya115
Kaimur (bhabua)105
Bhojpur103
Saran101
Muzaffarpur96
Saharsa88
Supaul87
Vaishali87
Madhepura82
Kishanganj75
Aurangabad75
Sitamarhi73
Lakhisarai72
Araria68
Pashchim Champaran57
Arwal52
Jamui47
Sheohar20

2,31,539 694

5,225 328

2,25,077 362

1,237 4

DistrictCases
Bilaspur100
Korba100
Mungeli87
Baloda Bazar85
Jashpur77
Janjgir-Champa56
Mahasamund54
Rajnandgaon52
Kabirdham52
Raigarh47
Raipur46
Balod41
Korea39
Durg31
Bemetara21
Kanker19
Balrampur17
Surguja14
Gariyaband10
Surajpur9
Dhamtari6
Bijapur2
Bastar2
Dantewada0
Kondagaon0
Narayanpur0
Sukma0

2,29,203 1,877

24,676 1,861

2,01,744

2,783 16

DistrictCases
Gurugram2,950
Faridabad867
Sonipat404
Rohtak145
Palwal120
Jhajjar114
Karnal104
Hisar98
Ambala93
Panipat78
Nuh68
Bhiwani60
Rewari56
Kurukshetra55
Sirsa50
Kaithal48
Mahendragarh47
CharkiDadri43
Panchkula39
Fatehabad38
Jind38
Yamunanagar19

2,24,489 2,197

20,948 183

2,01,250 1,972

2,291 42

DistrictCases
Kamrup Metro276
Golaghat203
Nagaon143
Hojai89
Dima Hasao86
Karimganj85
Tinsukia84
Cachar80
Dibrugarh61
Hailakandi57
Lakhimpur57
Marigaon50
Dhemaji47
Kamrup42
Kokrajhar37
Dhubri30
Charaideo29
Barpeta28
Udalguri28
Sonitpur27
Jorhat24
Nalbari23
Darrang20
Sivasagar20
Goalpara19
Biswanath16
Baksa14
KarbiAnglong13
Bongaigaon12
Chirang6
West KarbiAnglong5
South SalmaraMancachar4
Majuli2

2,12,021 182

3,277 63

2,07,766 117

978 2

DistrictCases
Ahmadabad17,125
Surat2,311
Vadodara1,555
Gandhinagar410
Mahesana159
Banas Kantha147
Bhavnagar146
Rajkot135
Arvalli134
Mahisagar125
Anand107
PanchMahals107
Patan105
SabarKantha101
Kachchh99
Kheda98
Jamnagar63
Bharuch56
Botad55
Surendranagar55
Valsad47
GirSomnath45
Dohad43
Chhotaudepur37
Naysari35
Junagadh31
Narmada25
DevbhumiDwarka22
Amreli16
Porbandar11
Tapi6
Dang5
Morbi4

2,01,949 1,540

14,287 243

1,83,756 1,283

3,906 14

DistrictCases
Indore3,839
Bhopal1,880
Ujjain799
Burhanpur351
Neemuch319
Jabalpur276
East Nimar266
Sagar228
Gwalior211
Khargone196
Dewas140
Dhar132
Mandsaur112
Morena109
Bhind87
Raisen71
Barwani60
Ratlam51
Rewa39
Shajapur39
Hoshangabad37
Vidisha37
Chhatarpur35
Betul35
Rajgarh31
Dindori29
Sheopur26
Damoh26
Satna24
Anuppur22
Panna20
Tikamgarh18
Sidhi17
Narsinghpur17
Chhindwara16
Agar Malwa15
Mandla15
Shivpuri15
Jhabua14
Shandol14
Singrauli13
Ashoknagar13
Datia12
Sehore12
Umaria10
Balaghat9
Guna8
Harda4
Alirajpur3
Katni3
Seoni2
Niwari0

1,98,284 1,773

13,742 763

1,81,345 996

3,197 14

DistrictCases
Amritsar485
Jalandhar297
Ludhiana293
Tarn Taran163
Gurdaspur154
Hoshiarpur140
S.A.S Nagar137
Patiala132
Sangrur107
Shahid Bhagat Singh Nagar (Nawanshahr)99
Pathankot86
Rupnagar (Ropar)74
Faridkot74
Sri Muktsar Sahib71
Moga65
Bathinda60
Fatehgarh Sahib57
Fazilka53
Firozepur50
Kapurthala44
Mansa31
Barnala25

1,48,435 770

7,129 295

1,36,622 444

4,684 31

DistrictCases
East Singhbum170
Ranchi148
Hazaribagh110
Garhwa80
Ramgarh75
Koderma58
Simdega48
Dhanbad32
Gumla28
Palamu27
West Singhbhum21
SaraikelaKharsawan20
Giridih19
Bokaro16
Latehar14
Khunti10
Lohardaga8
Deoghar5
Dumka5
Pakur4
Jamtara2
Godda2
Chatra1
Sahebganj0

1,08,158 237

2,160 82

1,05,040 316

958 3

DistrictCases
Anantnag395
Srinagar300
Kulgam295
Baramulla271
Shopian255
Kupwara231
Bandipora175
Udhampur155
Ramban151
Jammu138
Budgam110
Pulwama108
Kathua53
Rajouri39
Ganderbal37
Poonch35
Doda27
Reasi26
Samba25
Kishtwar10
Mirpur0
Muzaffarabad0

1,07,819 489

5,264 93

1,00,892 570

1,663 12

DistrictCases
Dehradun370
Nainital323
Tehri Garhwal110
Haridwar94
Udam Singh Nagar83
Almora71
Champawat45
Pithoragarh43
Chamoli36
PauriGarhwal36
Bageshwar31
Rudraprayag30
Uttar Kashi24

72,642 482

4,658 20

66,799 450

1,185 12

DistrictCases
South Goa69
North Goa57

47,193 125

1,281 60

45,229 61

683 4

DistrictCases
Pondicherry111
Mahe4
Karaikal2
Yanam0

36,820 51

540 51

35,671

609

DistrictCases
Hamirpur117
Kangra105
Una41
Solan32
Chamba29
Bilaspur21
Mandi21
Sirmaur11
Shimla10
Kullu4
Kinnaur2
Lahaul And Spiti0

36,566 837

7,875 725

28,106 99

585 13

DistrictCases
Dhalai196
Sepahijala174
Gomati74
South Tripura53
Unakoti49
West Tripura45
Khowai24
North Tripura14

32,578 50

767 23

31,441 73

370

DistrictCases
Churachandpur32
Kangpokpi26
Imphal West21
Thoubal18
Imphal East10
Tengnoupal9
Bishnupur7
Senapati6
Chandel5
Kamjong5
Ukhrul4
Jiribam3
Pherzawl3
Kakching2
Tamenglong2
Noney1

24,133 193

3,248 73

20,640 115

245 5

DistrictCases
Chandigarh313

16,925 77

1,127 1

15,532 77

266 1

DistrictCases
Changlang31
Papum Pare8
Lohit3
Namsai2
West Siang1
East Siang1
Upper Siang1
Tawang1
PakkeKessang1
West Kameng0
Upper Subansiri0
Tirap0
Siang0
Shi Yomi0
Anjaw0
Lower Subansiri0
Lower Dibang Valley0
Longding0
Leparada0
KurungKumey0
KraDaadi0
Kamle0
East Kameng0
Dibang Valley0
Lower Siang0

16,174 30

968 36

15,157 66

49

DistrictCases
East Khasi Hills22
West Garo Hills5
South West Garo Hills4
North Garo Hills1
West Jaintia Hills1
West Khasi Hills1
East Garo Hills0
East Jaintia Hills0
Ribhoi0
South Garo Hills0
South West Khasi Hills0

11,513 59

915 22

10,488 37

110

DistrictCases
Dimapur20
Mon8
Kohima7
Kiphire3
Tuensang3
Peren2
Phek1
Longleng0
Mokokchung0
Wokha0
Zunheboto0

10,991 60

1,467 6

9,463 66

61

DistrictCases
Kargil77
LehLadakh43

8,119 91

886 32

7,125 56

108 3

DistrictCases
East District3
South District3
North District0
West District0

4,819 42

236 2

4,481 44

102

DistrictCases
South Andamans33
Nicobars1
North And Middle Andaman1

4,677 10

137 5

4,479 15

61

DistrictCases
Kolasib11
Aizawl10
Mamit8
Lawngtlai2
Lunglei2
Saitual1
Champhai0
Hnahthial0
Khawzawl0
Saiha0
Serchhip0

3,765 20

441 1

3,319 21

5

DistrictCases
Dadra And Nagar Haveli20

3,327 2

35 2

3,290 4

2

DistrictCases
Lakshadweep District0

0

0 0

0

0

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